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Building a DevOps Culture When people talk about DevOps, they often emphasize configuration management systems, source code repositories, and other tools. But, as Mandi Walls explains in this Velocity report, DevOps is really about changing company culture?replacing traditional development and operations silos with collaborative teams of people from both camps. This report outlines strategies for managers looking to go beyond tools to build a DevOps culture among their technical staff.

Designing for Cities How can today?s growing cities use technology and design to improve their infrastructure, management, and quality of life? In this O?Reilly report, Paul McConnell and Mike Clare from Intersection review how connected services and platforms are redefining how cities function, and how people interact within them. As the world becomes more urbanized and connected, design methods can be applied to some of the most critical challenges among three major groups: citizens, civic stakeholders, and commercial interests. This report will provide you with background, examples, and approaches for citizen-centered experiences and civic innovation projects. The authors provide examples from projects including the MTA Subway System and LinkNYC?an ambitious program to replace New York?s aging pay phone infrastructure with the world?s largest and fastest free municipal Wi-Fi network. Paul McConnell, Intersection?s Director of Design, has helped build a team of strategists, interaction designers, and visual designers. He?s led efforts for a range of projects, including web applications, products, services and spaces for start-ups, universities, corporations, cultural institutions, and government agencies. Mike Clare, Design Team Lead at Intersection, connects emerging technologies with consumers? needs to create new experiences that solve problems and help grow businesses. He?s taken projects from opportunity identification to concept creation, design, and final prototype.

What Is Database Design, Anyway? Since databases are at the center of the IT world, their proper design would seem to be paramount. And yet, some of the popular references on database design theory and design best practice show a curious lack of understanding by the IT industry at large. In this O?Reilly report, C.J. Date?a prominent researcher and consultant specializing in relational database theory?clarifies exactly what database design is, or ought to be.

The Little Book of HTML/CSS Coding Guidelines A proper plan can improve your code, including your HTML documents and CSS style sheets. Jens Oliver Meiert explores the theory and practice of coding guidelines and shows, using Google?s HTML and CSS standards as a particular example, how consistency and care can make the code base you create today much easier to deal with when you?or someone else?work on it later. Jens Oliver Meiert is a former senior developer and tech lead at Google, Aperto, and GMX, where he architected internal frameworks that married fast development with high quality code.

Software Architecture Patterns The success of any application or system depends on the architecture pattern you use. By describing the overall characteristics of the architecture, these patterns not only guide designers and developers on how to design components, but also determine the ways in which those components should interact. This O?Reilly report takes a deep dive into many common software architecture patterns. Each pattern includes a full explanation of how it works, explains the pattern?s benefits and considerations, and describes the circumstances and conditions it was designed to address. The report also includes an analysis and scorecard for each pattern based on several architecture and software development quality attributes. Patterns include: Layered architecture Event-driven architecture Microkernel architecture Microservices architecture Space-based architecture In addition to these specific patterns, you?ll also learn about the Architecture by Implication anti-pattern and the causes and effects of not using architecture patterns. Mark Richards is an experienced software architect with significant experience and expertise in application, integration, and enterprise architecture. Active in the software industry since 1983, he is the author/presenter of several O?Reilly books and videos, including Software Architecture Fundamentals ; Enterprise Messaging, Java Message Service, 2nd Edition ; and 97 Things Every Software Architect Should Know .

Building Real-Time Data Pipelines Traditional data processing infrastructures?especially those that support applications?weren?t designed for our mobile, streaming, and online world. This O?Reilly report examines how today?s distributed, in-memory database management systems (IMDBMS) enable you to make quick decisions based on real-time data. In this report, executives from MemSQL Inc. provide options for using in-memory architectures to build real-time data pipelines. If you want to instantly track user behavior on websites or mobile apps, generate reports on a changing dataset, or detect anomalous activity in your system as it occurs, you?ll learn valuable lessons from some of the largest and most successful tech companies focused on in-memory databases. Explore the architectural principles of modern in-memory databases Understand what?s involved in moving from data silos to real-time data pipelines Run transactions and analytics in a single database, without ETL Minimize complexity by architecting a multipurpose data infrastructure Learn guiding principles for developing an optimally architected operational system Provide persistence and high availability mechanisms for real-time data Choose an in-memory architecture flexible enough to scale across a variety of deployment options Conor Doherty, Data Engineer at MemSQL, is responsible for creating content around database innovation, analytics, and distributed systems. Gary Orenstein, Chief Marketing Officer at MemSQL, leads marketing strategy, product management, communications, and customer engagement. Kevin White is the Director of of Operations and a content contributor at MemSQL. Steven Cami�a is a Principal Product Manager at MemSQL. His experience spans B2B enterprise solutions, including databases and middleware platforms.

Object-Oriented vs. Functional Programming The schism between the functional and object-oriented programmers is really a false binary. Yes, the first group argues that FP is superior for a multicore world, while the second insists that OOP is better at matching technical solutions to business problems. However, as this O?Reilly report explains, this is not an either-or proposition. Technologist Richard Warburton, author of Java 8 Lambas, discusses similarities between these programming paradigms and points out that both FP and OOP are actually moving closer toward one another. One prominent example is the use of lambda expressions in Java and other OOP languages such as C#, C++, and Swift. By following examples written in Java, you will: Learn how lambdas (aka anonymous functions) make OOP languages better suited for dealing with parallelism and concurrency Understand how SOLID?OOP?s five basic principles of programming?map to functional languages and paradigms Explore some of the most common OOP design patterns?and how they exist in the functional world Richard Warburton is an empirical technologist and solver of deep-dive technical problems. Recently he has been working on data analytics for high performance computing. As a leader in the London Java Community, he organizes the Adopt-a-JSR programs for Java 8 and the Openjdk Hackdays. Richard is also the author of the Java 8 Lambdas (O?Reilly).

Hadoop with Python Hadoop is mostly written in Java, but that doesn't exclude the use of other programming languages with this distributed storage and processing framework, particularly Python. With this concise book, you'll learn how to use Python with the Hadoop Distributed File System (HDFS), MapReduce, the Apache Pig platform and Pig Latin script, and the Apache Spark cluster-computing framework. Authors Zachary Radtka and Donald Miner from the data science firm Miner & Kasch take you through the basic concepts behind Hadoop, MapReduce, Pig, and Spark. Then, through multiple examples and use cases, you'll learn how to work with these technologies by applying various Python tools. Use the Python library Snakebite to access HDFS programmatically from within Python applications Write MapReduce jobs in Python with mrjob, the Python MapReduce library Extend Pig Latin with user-defined functions (UDFs) in Python Use the Spark Python API (PySpark) to write Spark programs with Python Learn how to use the Luigi Python workflow scheduler to manage MapReduce jobs and Pig scripts Zachary Radtka, a platform engineer at Miner & Kasch, has extensive experience creating custom analytics that run on petabyte-scale data sets. Donald Miner, founder of Miner & Kasch, specializes in Hadoop enterprise architecture and applying machine learning to real-world business problems.

Why Isomorphic JavaScript? The Golden Age of JavaScript began when web developers traded in their fat-server, thin-client approach for desktop-like web apps running in the browser. Unfortunately, that approach led to a succession of problems, so now the pendulum is swinging back in the other direction. Companies such as Walmart, Airbnb, Facebook, and Netflix have already adopted a new solution, using JavaScript code on both the client and server. With this excerpt from O?Reilly?s upcoming book Building Isomorphic JavaScript Apps, you?ll learn how this method fixes nagging issues such as page-load speeds and SEO compatibility. Authors Jason Strimpel and Maxime Najim from WalmartLabs explain that isomorphic JavaScript is the latest in a series of engineering fixes that brings a harmonious equilibrium between the fat-server, fat-client pendulum. Is isomorphic JavaScript the holy grail of web application development? Decide for yourself. Pick up this free excerpt and discover why this new code-sharing solution is such an important evolutionary step. Jason Strimpel is a software engineer with over 15 years? experience developing web applications. Currently employed at WalmartLabs, he writes software to support UI application development. Maxime Najim is a software architect at WalmartLabs. Prior to joining Walmart, he worked on software engineering teams at Netflix, Apple, and Yahoo!

Managing the Data Lake Organizations across many industries have recently created fast-growing repositories to deal with an influx of new data from many sources and often in multiple formats. To manage these data lakes, companies have begun to leave the familiar confines of relational databases and data warehouses for Hadoop and various big data solutions. But adopting new technology alone won?t solve the problem. Based on interviews with several experts in data management, author Andy Oram provides an in-depth look at common issues you?re likely to encounter as you consider how to manage business data. You?ll explore five key topic areas, including: Acquisition and ingestion: how to solve these problems with a degree of automation. Metadata: how to keep track of when data came in and how it was formatted, and how to make it available at later stages of processing. Data preparation and cleaning: what you need to know before you prepare and clean your data, and what needs to be cleaned up and how. Organizing workflows: what you should do to combine your tasks?ingestion, cataloging, and data preparation?into an end-to-end workflow. Access control: how to address security and access controls at all stages of data handling. Andy Oram, an editor at O?Reilly Media since 1992, currently specializes in programming. His work for O'Reilly includes the first books on Linux ever published commercially in the United States.

Search-Driven Business Analytics Compared to the speed and convenience of major web search engines, most business intelligence (BI) products are slow, stiff, and unresponsive. Business leaders today often wait days or weeks to get BI reports on inquiries about customers, products, or markets. But the latest BI products show that a significant change is taking place?a change led by search. This O?Reilly report examines three recent products with intelligent search capabilities: the ThoughtSpot Analytical Search Appliance, Microsoft?s Power BI service, and an offering from Adatao. You?ll learn how these products can provide you with answers and visualizations as quickly as questions come to mind. You?ll investigate: The convergence of BI and search What a search-driven user experience looks like The intelligence required for analytical search Data sources and their associated data modeling requirements Turning on-the-fly calculations into visualizations Applying enterprise scale and security to search Andy Oram, an editor at O?Reilly Media since 1992, currently specializes in programming and health IT. His work for O'Reilly includes the first books on Linux ever published commercially in the United States.

Private and Open Data in Asia: A Regional Guide The rise of big data in recent years coincides with the economic and political rise of Asia, especially among the five countries that make up the bulk of the East Asian Internet-using population: China, Japan, Korea, India, and Indonesia. If you?re thinking of entering the Asian market, this O?Reilly report provides an overview of the current state of big data and open data in these countries, and helps you examine whether the benefits of doing business with them outweigh the costs. While Japan and South Korea are highly developed countries with lofty Internet penetration rates, China, India, and Indonesia have enormous populations, relatively low Internet penetration, and enormous growth potential. But access to open data from fields such as healthcare, education, agriculture, transportation, energy, and finance?data vital for building businesses and services?varies from country to country. Each of them has a distinctive character reflecting its national priorities. To help you assess risk vs opportunity in the Asian market, author Franklin Lu reviews these five countries individually to reveal the nature of data privacy laws, open data initiatives, and existing businesses.

Design and Business How do you design successful products that serve the needs of users and meet business goals? Better yet, how do you build successful design teams, and nurture and lead a successful design business? You?ll find plenty of insight in the O?Reilly Design Library. This free sampler gets you started. With a collection of chapters from the library?s published and forthcoming books, you?ll discover how to evaluate design talent, interpret user pain, hold meaningful design critiques, and more. This sampler includes excerpts from these books: Design Leadership?Chapter 1: "Talent" Designing Products People Love?Chapter 2: "How to Create Products People Want" Mapping Experiences?Chapter 3: "Visualizing Strategic Insight" Designing with Data?Chapter 5: "Culture and Communication" Design Sprint?Chapter 5: "Phase 1: Understand" This is Service Design Doing?Chapter 5: "Facilitating Workshops" Discussing Design?Chapter 6: "Critiquing with Difficult People and Challenging Situations"

Introducing Java 8 Java SE 8 is perhaps the largest change to Java in its history, led by its flagship feature?lambda expressions. If you?re an experienced developer looking to adopt Java 8 at work, this short guide will walk you through all of the major changes before taking a deep dive into lambda expressions and Java 8?s other big feature: the Streams API. Author Raoul-Gabriel Urma explains how improved code readability and support for multicore processors were the prime movers behind Java 8 features. He?ll quickly get you up to speed on new classes including CompleteableFuture and Optional, along with enhanced interfaces and the new Date and Time API. You?ll also: Understand why lambda expressions are considered a kind of anonymous function Learn how lambda expressions and the behavior parameterization pattern let you write flexible and concise code Discover various operations and data processing patterns possible when using the Streams API Use Collector recipes to write queries that are more sophisticated Consider factors such as data size and the number of cores available when using streams in parallel Work with a practical refactoring example to bring lambda expressions and streams into focus Raoul-Gabriel Urma is co-author of the bestselling book Java 8 in Action (Manning). He has worked as a software engineer for Oracle?s Java Platform Group, as well as for Google?s Python team, eBay and Goldman Sachs. An instructor and frequent conference speaker, he?s currently completing a PhD in Computer Science at the University of Cambridge.

Navigating the Health Data Ecosystem Data-driven technologies are now being adopted, developed, funded, and deployed throughout the health care market at an unprecedented scale. But, as this O'Reilly report reveals, health care innovation contains more hurdles and requires more finesse than many tech startups expect. By paying attention to the lessons from the report's findings, innovation teams can better anticipate what they'll face, and plan accordingly. Simply put, teams looking to apply collective intelligence and "big data" platforms to health and health care problems often don't appreciate the messy details of using and making sense of data in the heavily regulated hospital IT environment. Download this report today and learn how it helps prepare startups in six areas: Complexity: An enormous domain with noisy data not designed for machine consumption Computing: Lack of standard, interoperable schema for documenting human health in a digital format Context: Lack of critical contextual metadata for interpreting health data Culture: Startup difficulties in hospital ecosystems: why innovation can be a two-edged sword Contracts: Navigating the IRB, HIPAA, and EULA frameworks Commerce: The problem of how digital health startups get paid This report represents the initial findings of a study funded by a grant from the Robert Wood Johnson Foundation. Subsequent reports will explore the results of three deep-dive projects the team pursued during the study.

The Little Book of HTML/CSS Frameworks With the speed of web development today, it?s little wonder that so many frameworks are available, since they come with a promise of saving development and design time. But using the wrong framework, or wrongly using the right framework, can be costly. This concise book shares higher-level ideas around web development frameworks that govern HTML and CSS code, whether you?re looking at an external option or planning to build your own. Author Jens Meiert outlines various principles, methods, and practices that you can use to make sure your framework has the functionality you need without bloated code to slow you down. Choose a framework that can be tailored and extended Stick to framework ground rules: follow the documentation and don?t overwrite framework code Build a framework by means of a prototype: a static internal website that includes all the page types and elements you need Focus on quality assurance during the development process, and quality control to find and fix framework issues Diligently maintain and update your framework, whether it?s for internal or external use Anchor your documentation right where development happens Jens Oliver Meiert is a former senior developer and tech lead at Google, Aperto, and GMX, where he architected internal frameworks that married fast development with high quality code.

Azure for Developers Microsoft's Azure platform has a vast array of features: cloud hosting, web hosting, data analytics, data storage, machine learning, and more?all integrated with Visual Studio, the tool that .NET developers already know. With such a large number of offerings, it can be daunting to know where to start. In this O'Reilly report, experienced .NET developer John Adams breaks down the options in plain language, so that you can quickly get up to speed on Azure. Whether you want to know what Azure offers for your next project, or you want to convince management to go with Azure, this report has the information you need in a nutshell. John Adams is a senior application developer with RBA in the Dallas/Fort Worth area, specializing in ASP.NET MVC and Microsoft Azure cloud services. He has been building custom web applications and enterprise solutions on the Microsoft .NET platform for over 7 years across multiple industry segments. He is passionate about creating high performance and scalable cloud solutions.

The Web Platform JavaScript, HTML, and CSS provide strong foundations for websites, applications, and content. This unique combination gives developers the power to create document or application structure and content, use native-speed tools to style and even animate that content, and customize behavior and interaction. Though web structures are very different from traditional programming models, they offer unique strengths and opportunities. Their evolution is continuous, helping to drive a new generation of applications that are reshaping the classic desktop market and challenging native mobile contenders. In The Web Platform: Building a Solid Stack of HTML, CSS, and JavaScript , O'Reilly Senior Editor and Fluent Conference Chair Simon St.Laurent explores the possibilities that open when you take web technologies seriously, applying them to a wide variety of projects. Topics include: HTML: Moving Beyond the Standard The Power of Markup CSS Selectors Have Superpowers JavaScript: Not as Expected From JavaScript to Declarative Markup Toward Responsive Web Programming Will JavaScript Take Over the Programming World?

The Little Book of HTML/CSS Coding Guidelines A proper plan can improve your code, including your HTML documents and CSS style sheets. Jens Oliver Meiert explores the theory and practice of coding guidelines and shows, using Google?s HTML and CSS standards as a particular example, how consistency and care can make the code base you create today much easier to deal with when you?or someone else?work on it later. Jens Oliver Meiert is a former senior developer and tech lead at Google, Aperto, and GMX, where he architected internal frameworks that married fast development with high quality code.

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Big Data Now: 2012 Edition The Big Data Now anthology is relevant to anyone who creates, collectsor relies upon data. It's not just a technical book or just a businessguide. Data is ubiquitous and it doesn't pay much attention toborders, so we've calibrated our coverage to follow it wherever itgoes. In the first edition of Big Data Now, the O'Reilly team tracked thebirth and early development of data tools and data science. Now, withthis second edition, we're seeing what happens when big data grows up:how it's being applied, where it's playing a role, and theconsequences -- good and bad alike -- of data's ascendance. We've organized the second edition of Big Data Now into five areas: Getting Up to Speed With Big Data -- Essential information on thestructures and definitions of big data. Big Data Tools, Techniques, and Strategies -- Expert guidance forturning big data theories into big data products. The Application of Big Data -- Examples of big data in action,including a look at the downside of data. What to Watch for in Big Data -- Thoughts on how big data will evolveand the role it will play across industries and domains. Big Data and Health Care -- A special section exploring thepossibilities that arise when data and health care come together.

BioCoder #5 BioCoder is a quarterly newsletter for DIYbio, synthetic bio, and anything related. You?ll discover: Articles about interesting projects and experiments, such as the glowing plant Articles about tools, both those you buy and those you build Visits to DIYbio laboratories Profiles of key people in the community Announcements of events and other items of interest Safety pointers and tips about good laboratory practice Anything that?s interesting or useful: you tell us! And BioCoder is free (for the time being), unless you want a dead-tree version. We?d like BioCoder to become self supporting (maybe even profitable), but we?ll worry about that after we?ve got a few issues under our belt. If you?d like to contribute, send email to BioCoder@oreilly.com. Tell us what you?d like to do, and we?ll get you started.

Predictive Maintenance Predictive maintenance isn't a new idea, but now that the data revolution has finally made it feasible, the dream of eliminating costly machine breakdowns and unplanned system downtime is just the start. This O'Reilly report examines how the combination of advanced analytics, low-cost sensors, and the IoT promises to elevate maintenance in heavy industry from a cost center to a profit center.

What is Dart? This short, free ebook from March 2012 describes the Dart language, libraries, and tools that help you develop structured, fast, and maintainable web apps that run in any modern browser.

State of the Computer Book Market 2011 This annual report examines the key trends and developments -- most notably, the demise of Borders -- that shaped the 2011 computer book market.

HTML5 for Publishers HTML5 is revolutionizing the Web, and now it's coming to your ebook reader! With the release of the EPUB 3 specification, HTML5 support is officially a part of the EPUB standard, and publishers are able to take full advantage of HTML5's rich feature set to add rich media and interactivity to their ebook content. HTML5 for Publishers gives an overview of some of the most exciting features HTML5 provides to ebook content creators--audio/video, geolocation, and the Canvas--and shows how to put them in action.

What's New in Adobe AIR 3 This book will present you with a full rundown of all the new features in the upcoming AIR 3.0 runtime. Along with each feature, if applicable, will be a demonstration of how to employ the new feature. There's also be a short introduction to AIR and a chapter dedicated to providing you with additional resources.

BioCoder #8 BioCoder is a quarterly newsletter for DIYbio, synthetic bio, and anything related. You?ll discover: Articles about interesting projects and experiments, such as the glowing plant Articles about tools, both those you buy and those you build Visits to DIYbio laboratories Profiles of key people in the community Announcements of events and other items of interest Safety pointers and tips about good laboratory practice Anything that?s interesting or useful: you tell us! And BioCoder is free (for the time being), unless you want a dead-tree version. We?d like BioCoder to become self supporting (maybe even profitable), but we?ll worry about that after we?ve got a few issues under our belt. If you?d like to contribute, send email to BioCoder@oreilly.com. Tell us what you?d like to do, and we?ll get you started.

Release 2.0: Issue 4 This issue's theme is Information Visualization--the art of displaying complex data to increase understanding and improve decisions. It examines the state of Information Visualization, how it got here, and where it might be going, and presents compelling stories of Information Visualization at work. Articles include: Information Visualization: The State of the Art The Implications of Visual Literacy: An Annotated Guide to getting what you see What I've learned from My Brain: 10 years inside an information visualization program Improving the Interoperability of Online Visualizations: Notes towards the next generation of mashups Visualizing Foreward: The four pathes information visualization is leading us down and where they might lead Still Tomorrow's Technology: Information Visualization is Great, or it will be, if it ever comes Caution: Low Visability - Does anyone remember words? Also, Vista Perception Critical Update: Microsoft's new operating system is a bust the pundits say / wish. Dont believe 'em.

Innovation, Security, and Compliance in a World of Big Data Many organizations are resisting the move to big data systems, arguing that the rapid acceptance of this technology is far ahead of adequate security concerns. Through interviews with experts in and around the data industry, this O?Reilly report examines solutions for making big data safe and keeping it private. Is it possible to achieve a fair balance between the need for data security and the drive toward rapid business innovation? Can user privacy coexist with an ever-widening array of choices for consumers? These aren?t theoretical debates. The genie is out of the bottle, and the need for solid measures is urgent?whether it?s better methods for protecting the "crown jewels," a limit on personal data retention, or even a national data security policy. Journalist Mike Barlow helps you track the debate. Mike Barlow is an award-winning journalist, author, communications strategy consultant, and cofounder of Cumulus Partners.

Data Science, Banking, and Fintech The financial industry today is under siege, but not from economic pressures in Europe and China. Rather, this once-impenetrable fortress is currently riding a giant entrepreneurial wave of disruption, disintermediation, and digital innovation. Behind the siege is fintech, a spunky and growing group of financial technology companies. These venture-backed new arrivals are challenging the old champions in lending, payments, money transfer, trading, wealth management, and cryptocurrencies. In this O?Reilly report, author Cornelia L�vy-Bencheton examines the disruptive megatrends taking hold at every level and juncture of the financial ecosystem. You?ll find out how fintech is reshaping the financial industry, reimagining the ways consumers manage, save, and spend money through a data-driven culture of big data analytics, mobile payment services, and robo-advising. Can traditional financial institutions evolve in time to catch up and avoid being replaced? Pick up this report to learn about the current banking and financial services industry, key participants in fintech, and some adaptive strategies being used by traditional financial organizations. Cornelia L�vy-Bencheton, Principal of CLB Strategic Consulting, LLC, is a communications strategy consultant and writer whose data-driven marketing and decision-support work helps companies optimize performance. She focuses on the impact of disruptive technologies and their associated cultural challenges that open up new opportunities and necessitate refreshed strategies.

Data Science in the Cloud with Microsoft Azure Machine Learning and R: 2015 Update Take some time to explore Microsoft?s Azure machine learning platform, Azure ML?a production environment that simplifies the development and deployment of machine learning models. In this updated and expanded O?Reilly report, Stephen Elston from Quantia Analytics uses a complete data science example (forecasting hourly demand for a bicycle rental system) to show you how to manipulate data, construct models, and evaluate models with Azure ML. The report walks you through key steps in the data science process from problem definition, data understanding, and feature engineering, through construction of a regression model and presentation of results. You?ll also learn how to extend Azure ML with R. Elston uses downloadable sample R code and data to demonstrate how to perform data munging, data visualization, and in-depth evaluation of model performance. At the end, you?ll learn how to publish your trained models as web services in the Azure cloud. With this 2015 Update, you?ll learn how to: Navigate the Azure ML Gallery Use the R Model module Load R packages from a zip file Use the Metadata Editor Publish a scoring model as a web service Use the Cross Validate model module Publish a web service to Excel Apply a SQL transformation Use the new Sweep Parameters module Stephen F. Elston, Managing Director of Quantia Analytics, LLC is a big-data geek, data scientist, instructor, and O?Reilly author. He has over two decades of experience in predictive analytics and machine learning with R, S/SPLUS, and Python. Elston has developed, sold, and supported multiple analytics solutions. He creates solutions for financial market and credit risk, trading analytics, wireless telecom, and fraud prevention, and is an Azure Advisor to Microsoft.

Back-End Java Development These curated chapters from bestselling O'Reilly books represent the most widely used technologies for developing server-side applications in Java. Get started by learning about Java's basic syntax, and from there scale up your knowledge base by taking a lightning-fast tour through the ecosystem's best tools, frameworks, application servers, and database management languages. All of the leading technologies are included here--Java EE, Spring, Tomcat, Hibernate, and SQL--so back-end developers can rest assured they'll have a trusty roadmap for deeper exploration and discovery. This free ebook contains the following chapters: "Java Syntax from the Ground Up," from Java in a Nutshell "Servlets," from Java EE 7 Essentials "Fundamentals," from Just Spring "Getting Started with Tomcat," from Tomcat: The Definitive Guide "Harnessing Hibernate," from " Harnessing Hibernate "Creating and Populating a Database," from Learning SQL

Evaluating Machine Learning Models Data science today is a lot like the Wild West: there?s endless opportunity and excitement, but also a lot of chaos and confusion. If you?re new to data science and applied machine learning, evaluating a machine-learning model can seem pretty overwhelming. Now you have help. With this O?Reilly report, machine-learning expert Alice Zheng takes you through the model evaluation basics. In this overview, Zheng first introduces the machine-learning workflow, and then dives into evaluation metrics and model selection. The latter half of the report focuses on hyperparameter tuning and A/B testing, which may benefit more seasoned machine-learning practitioners. With this report, you will: Learn the stages involved when developing a machine-learning model for use in a software application Understand the metrics used for supervised learning models, including classification, regression, and ranking Walk through evaluation mechanisms, such as hold?out validation, cross-validation, and bootstrapping Explore hyperparameter tuning in detail, and discover why it?s so difficult Learn the pitfalls of A/B testing, and examine a promising alternative: multi-armed bandits Get suggestions for further reading, as well as useful software packages Alice Zheng is the Director of Data Science at Dato, a Seattle-based startup that offers powerful large-scale machine learning and graph analytics tools. A tool builder and an expert in machine-learning algorithms, her research spans software diagnosis, computer network security, and social network analysis.

Data Analytics in Sports As any child with a baseball card intuitively knows, sports and statistics go hand-in-hand. Yet, the general media disdain the flood of sports statistics available today: sports are pure and analytic tools are not. Well, if the so-called purists find tools like baseball?s sabermetrics upsetting, then they?d better brace themselves for the new wave of data analytics. In this O?Reilly report, Janine Barlow examines how advanced predictive analytics are impacting the world of sports?from the rise of tools such as Major League Baseball?s Statcast, which collects data on the movement of balls and players, to SportVU, which the National Basketball Association uses to collect spatial analysis data. You?ll also learn: How "Dance Card" makes accurate predictions about NCAA?s "March Madness" tournament Why data is crumbling long-standing myths about performance in soccer How the National Football League is using wearable devices to collect vital health data about its players It?s a new world in sports, where data analytics and related information technologies are changing the experience for teams, players, fans, and investors. Janine Barlow is a writer and publishing professional currently working with AMACOM Books, the publishing arm of the American Management Association, where she promotes books on business, marketing, technology, psychology, and more.

Modern Web Operations Learning the latest methodologies, tools, and techniques is critical for web operations, whether you're involved in systems administration, configuration management, systems monitoring, performance optimization, or consider yourself equal parts "Dev" and "Ops." The O'Reilly Web Operations Library provides experienced Ops professionals with the knowledge and guidance you need to build your skillset and stay current with the latest trends. This free ebook gets you started. With a collection of chapters from the library's published and forthcoming books, you'll learn about the scope and challenges that await you in the world of web operations, as well as the methods and mindset you need to adopt.

Data-Informed Product Design The need to understand people lies at the core of any product design, and currently there are two standard ways to measure that understanding: big datasets and small research studies?aka "thick data." Most organizations favor big over thick, but in doing so they miss the larger picture. In this report, author Pamela Pavliscak outlines a way to use data of all kinds to understand the relationship between people and technology. Big data shows traces of interactions that people leave behind, but it doesn't reveal the whole story. By adding user stories, you can go beyond the "what" to discover why people behave as they do. Up until now, there hasn?t been much information on how to combine quantitative big data with qualitative thick data. That's where this report can help. You?ll learn: What to consider when using data to understand people Key differences between big data and small research studies Why organizations should combine big and thick data to understand human behavior, emotion, and language Which data sources or research methods work best in combination How to categorize and combine data effectively in metrics Methods for infusing design documents with data How to work across teams to understand customers This report is ideal for product designers and developers, data scientists, design researchers, and business strategists. Pamela Pavliscak is Founder of Change Sciences, a design research firm that combines big data and user experience research to create better technologies.

Hardware by the Numbers: Startups Hardware startups leveled off in 2014 after sharp increases the previous two years, but there's no sign that IoT products have lost their luster, given their momentum in key economic sectors from health and energy to agriculture and financial services. In our biannual report, Hardware by the Numbers: Startups , you'll learn the most pertinent data behind the latest IoT trends. Download this free report and discover the opportunities awaiting hardware and software entrepreneurs in the IoT space.

HTTP/2: A New Excerpt from High Performance Browser Networking The new HTTP/2 standard is finally here. Approved earlier this year, HTTP/2 adds a new binary framing layer that will help make applications faster, simpler, and more robust. This chapter from the new release of High Performance Browser Networking provides a brief look at this updated protocol and explains how it will reduce latency, minimize protocol overhead, and add support for request prioritization and server push. In this excerpt, author Ilya Grigorik takes you through HTTP/2's design and technical goals, and explains how Google's SPDY played a critical role in the protocol's development. You'll also learn what's required for upgrading a multitude of servers and clients to HTTP/2. This excerpt covers: HTTP/2's binary framing layer Streams, messages, and frames Request and response multiplexing Stream prioritization One connection per origin Flow control Server push Header compression

Designing for Social Impact Designers of all stripes today are seeking social and civic projects that have a mission to serve the greater good at their core. Part of this growing trend stems from the desire to use skills for their highest potential. But the real payoff is the ability to use new design tools and approaches to help solve usability and communication issues in the social space at scale. In this O'Reilly report, Gretchen Anderson?VP of Product for a national non-profit in education?explains how designers can use their skills to help affect positive social change. You'll learn how designing for the social space often differs considerably from commercial work, and explore lessons from the field when working in civic engagement projects, non-profit advocacy, and healthcare. Understand the importance of being empathetic by learning what works, rather than creating things "for" people Focus on methods that help people make long-term behavioral changes Target your designs for everyone affected by a particular social segment, instead of those most easily reached Learn why the tolerance for risky solutions is low for social projects Gretchen Anderson spent the first part of her career in design consulting for firms like frog design, Cooper, and Punchcut. For the past three years, she's served as the VP of Product for GreatSchools, a national non-profit that helps parents get their kids a great education. Gretchen oversees design, product management, and engineering and loves the challenge of helping design permeate an organization, not just products.

You Don't Know JS: Up & Going With the "You Don?t Know JS" book series, you'll get a more complete understanding of JavaScript, including trickier parts of the language that many experienced JavaScript programmers simply avoid. The series' first book, Up & Going , provides the necessary background for those of you with limited programming experience. By learning the basic building blocks of programming, as well as JavaScript's core mechanisms, you'll be prepared to dive into the other, more in-depth books in the series--and be well on your way toward true JavaScript.

Tim O'Reilly in a Nutshell The essays in this collection offer valuable insight into one of today's technology leaders: the founder and CEO of O'Reilly Media. Tim O'Reilly in a Nutshell contains more than a dozen essays about paradigm shifts in technology, the future of online publishing, and the way he approaches business. Along the way, O'Reilly discusses open source projects, Unix, and technologies from Microsoft, Apple, and other companies.

BioCoder #9 BioCoder is a quarterly newsletter for DIYbio, synthetic bio, and anything related. You?ll discover: Articles about interesting projects and experiments, such as the glowing plant Articles about tools, both those you buy and those you build Visits to DIYbio laboratories Profiles of key people in the community Announcements of events and other items of interest Safety pointers and tips about good laboratory practice Anything that?s interesting or useful: you tell us! And BioCoder is free (for the time being), unless you want a dead-tree version. We?d like BioCoder to become self supporting (maybe even profitable), but we?ll worry about that after we?ve got a few issues under our belt. If you?d like to contribute, send email to BioCoder@oreilly.com. Tell us what you?d like to do, and we?ll get you started.

2016 Design Salary Survey This past autumn, O?Reilly Media for the first time conducted an anonymous online survey of salaries of designers, UX/UI specialists, and others in the design space. This in-depth report presents complete survey results which demonstrate how variables such as job title, location, use of specific tools, and the types of tasks performed affect salary and other compensation. The survey attracted more than 300 designers, managers, and directors from 25 countries. Most of them work onweb and mobile products or connected devices in a wide variety of industries. Respondents? median salaries have been sorted according to: Work location (country or US region), age, gender, and education Job title, such as director, manager, consultant, developer, analyst, and designer Company size, products and services produced, team size, and design processes used Professionals they work with most, including programmers, other designers, and product managers A range of tasks, including user research, usability testing, information architecture, UI design, prototyping, and project management Tools used most often, from Dropbox, Slack, and GitHub to Adobe Illustrator, Sketch, and InVision, to Google Analytics and HTML/CSS Curious how you would do in a different location, or how different skills and responsibilities might affect your salary? Download this free report to gain insight from these potentially career-changing findings, and learn how to plug your own information into the survey?s linear model. To stay up to date on this research, your participation is critical. The survey is now open for the 2017 report, and if you can spare just 10 minutes of your time, we encourage you to go to http://www.oreilly.com/design/2017-?design-salary-survey.html .

Designing for Respect Although designers are responsible for orchestrating the behaviors of all sorts of interactions on the Web, mobile devices, and in consumer environments every day, they often forget?or don?t fully realize?the influence they have on others. With this O?Reilly report, you?ll examine the subject of design with an ethical lens, and focus specifically on how UX, interaction, graphic, and visual product designers can affect a user?s time, mood, and trust. Author David Hindman, Interaction Design Director at Fjord San Francisco, investigates the topic of respectful design by providing examples of the challenges and frameworks to help inform considerate design solutions. Designers and business owners alike will examine some of the most commonly used digital services from an ethical standpoint. This report will help you: Recognize deceitful patterns, and learn how to create more efficient and honest solutions Understand the impact of respectful design on business Create more efficient and honest solutions Raise awareness about the value of clarity and respect from digital services David Hindman, Interaction Design Director at Fjord San Francisco, helps to build and manage a talented team of designers while leading projects for key clients. Throughout his design career he has helped solve problems for some of the world?s biggest brands, including Citibank, Wells Fargo, Kohl?s, The NFL, ESPN, VEVO, and Sheraton.

Steampunking Our Future: An Embedded Historian?s Notebook This free eBook companion to Vintage Tomorrows is packed with exclusive interviews (including Greg Broadmore, Ann and Jeff Vandermeer, and Margaret Killjoy), notes, images, and more gorgeous gadgets than you can shake a stick at. Steampunking Our Future offers you a spot in the time machine?hang on tight, our culture is changing, and you?ve got a front row seat.

Upgrading to PHP 7 PHP 7?the most dramatic update to the language in over a decade?has arrived. This O?Reilly report provides you with a short guide to the major changes in this new release, including a revamped engine (Zend Engine 3), a bunch of new features, and lots of language cleanup. You?ll learn about basic language changes, deprecated features, Unicode enhancements, changes in Object-Oriented programming, and other enhancements. You?ll also discover why it?s taken more than 10 years for the first new major version of PHP since PHP 5 to appear?and what happened to version 6 in the meantime. Get important details regarding changes to PHP 7, including: Deprecated features, starting with alternative PHP tags and POSIX-compatible regular expressions Uniform Variable Syntax, including consistency fixes and new syntax Basic language changes, such as new operators, constant arrays, new functions, and regular expressions Expectations and Assertions Error handling Enhancements to PHP?s Unicode, closure, and Generator features Changes in Object-Oriented programming Scalar type hints (perhaps the most polarizing and exciting new feature) Davey Shafik is a full-time developer with over 14 years of experience in PHP and related technologies. A Developer Evangelist at Akamai Technologies, he also co-organizes the Prompt initiative (mhprompt.org), which is dedicated to lifting the stigma surrounding mental health discussions.

The Future of Product Design Design and production considerations change throughout any product's lifecycle?from prototype to market introduction, through growth and maturity, and finally into decline?with each stage introducing its own set of challenges. But emerging technologies such as 3D printing, robotics, and the IoT are disrupting every stage of this lifecycle as they reinvigorate existing categories and create entirely new ones. In this report, Jonathan Follett from Involution Studios examines from a designer's perspective the ways emerging technologies are affecting the product lifecycle, and explores various options for companies looking at new ways of approaching product design and development. Today, not only must companies contend with the difficulties of introducing emerging tech into their product portfolio, they must also negotiate a labyrinth of complex factors, as the product design and development cycle itself is remade by these new technologies as well. This report will help you to understand and navigate this new world of product design. Jonathan Follett is the Principal of Involution Studios and one of the leaders of the firm's emerging technologies practice. As an experienced design firm, Involution Studios works with clients such as AstraZeneca, 3M, Partners HealthCare, and the Personal Genome Project on cutting-edge connected products. Jonathan's latest book from O'Reilly Media is "Designing for Emerging Technologies: UX for Genomics, Robotics, and the Internet of Things".

Java: The Legend The road from Java's first public alpha of 1.0 to today has been long?and full of technical advances, innovative solutions, and interesting complications. Along the way, Java has flourished and is now one of the world's most important and widely-used programming environments. Benjamin Evans, the Java editor for InfoQ and author of Java in a Nutshell, 6th edition, takes us on a journey through time: - How Java has benefitted from early design decisions, including "Write Once, Run Anywhere" and an insistence on backward compatibility- The impact of open source- The enormous success and continued importance of the Java Virtual Machine and platform- The rise of Enterprise Java- The evolution of the Java developer community and ecosystem- Java's continuing influence on new programming languages- Java's greatest triumphs and most heroic failures- The future of Java, including Java 9, Project Panama, Project Valhalla, and the Internet of Things

Music Science Big data has come to the music business in a huge way. Nearly every aspect of the modern music industry relies on massive amounts of data, machine learning, and analytics to make better decisions faster. In this report, O?Reilly Strata + Hadoop World Chair Alistair Croll takes you on a tour of music science, a relatively new field staffed by data scientists, analytics experts, tastemakers, economists, and even game theorists. Based on months of research and more than 70 interviews with scientists, founders, and artists, this report provides an overview of this multibillion-dollar venture. You?ll not only see where music science stands today?and where it?s headed?but get a tantalizing glimpse of what other industries will look like in coming years. You?ll explore: Connected listening: the new supply chain from artist to listener The rise of metadata and the sheer volume of data associated with songs Recommendations and Pandora?s Music Genome Project Many ways to measure music consumption (and music consumers) Music science?s Turing problems, such as the problem of predicting hit songs How algorithms on listener preference need to learn quickly with fresh data What lies on the horizon for the music industry Alistair Croll is an entrepreneur with a background in web performance, analytics, cloud computing, and business strategy. Co-founder of Coradiant (acquired by BMC in 2011), he?s helped launch Rednod, CloudOps, Bitcurrent, Year One Labs, and several other early-stage companies. Alistair advises companies on innovation and technology, and is a sought-after speaker on data-driven innovation and the impact of technology on society.

Migrating to Cloud-Native Application Architectures Adoption of cloud-native application architectures is helping many organizations transform their IT into a force for true agility in the marketplace. This O?Reilly report defines the unique characteristics of cloud-native application architectures such as microservices and twelve-factor applications. Author Matt Stine also examines the cultural, organizational, and technical changes necessary to migrate traditional monolithic applications and service-oriented architectures to cloud-native architectures. You?ll also find a Migration Cookbook, with recipes for decomposing monolithic applications into microservices, implementing fault-tolerant patterns, and performing automated testing of cloud-native services. This report discusses application architectures that include: The Twelve-Factor App: a collection of cloud-native app architecture patterns Microservices: independently deployable services that do one thing well Self-Service Agile Infrastructure: platforms for rapid, repeatable, and consistent provisioning of app environments and backing services API-based Collaboration: published and versioned APIs that allow interaction between services in a cloud-native app architecture Anti-Fragility: systems that get stronger when subjected to stress Matt Stine, a technical product manager at Pivotal, is a 15-year enterprise IT veteran with experience across numerous business domains. With emphasis on lean/agile methodologies, DevOps, architectural patterns, and programming paradigms, Matt is investigating a combination of techniques to help corporate IT departments function like startups.

Going Pro in Data Science Digging for answers to your pressing business questions probably won?t resemble those tidy case studies that lead you step-by-step from data collection to cool insights. Data science is not so clear-cut in the real world. Instead of high-quality data with the right velocity, variety, and volume, many data scientists have to work with missing or sketchy information extracted from people in the organization. In this O?Reilly report, Jerry Overton?Distinguished Engineer at global IT leader CSC?introduces practices for making good decisions in a messy and complicated world. What he simply calls ?data science that works? is a trial-and-error process of creating and testing hypotheses, gathering evidence, and drawing conclusions. These skills are far more useful for practicing data scientists than, say, mastering the details of a machine-learning algorithm. Adapted and expanded from a series of articles Overton published on O?Reilly Radar and on the CSC Blog, each chapter is ideal for current and aspiring data scientists who want to go pro, as well as IT execs and managers looking to hire in this field. The report covers: Using the scientific method to gain a competitive advantage The skill set you need to look for when choosing a data scientist Why practical induction is a key part of thinking like a data scientist Best practices for writing solid code in your data science gig How agile experimentation lets you find answers (or dead ends) much faster Advice for surviving (and even thriving) as a data scientist in your organization Jerry Overton is a Data Scientist and Distinguished Engineer at CSC, a global leader of next-generation IT solutions, with 56,000 professionals serving clients in more than 60 countries. Jerry is head of advanced analytics research and founder of CSC?s advanced analytics lab.

Data and Electric Power Traditional engineering is built upon a world of knowledge and scientific laws, with components and systems that operate predictably. But what happens when a large number of these devices are interconnected? You get a complex system that?s no longer deterministic, but probabilistic. That?s happening today in many industries, including manufacturing, petroleum, transportation, and energy. In this O?Reilly report, Sean Patrick Murphy, Chief Data Scientist at PingThings, describes how data science is helping electric utilities make sense of a stochastic world filled with increasing uncertainty?including fundamental changes to the energy market and random phenomena such as weather and solar activity. Murphy also reviews several cutting-edge tools for storing and processing big data that he?s used in his work with electric utilities?tools that can help traditional engineers pursue a data-driven approach in many industries. Topics in this report include: Key drivers that have changed the electric grid from a deterministic machine into probabilistic system Fundamental differences that put traditional engineering and data science at odds with one another Why the time is right for engineering organizations to adopt a complete data-driven approach Contemporary tools that traditional engineers can use to store and process big data A PingThings case study for dealing with random geomagnetic disturbances to the energy grid Sean Patrick Murphy serves as the Chief Data Scientist for PingThings, an Industrial Internet of Things (IIoT) startup that brings advanced data science and machine learning to the nation?s electric grid. He is a founder and board member of Data Community DC, a 10,000-member community of data practitioners, and leads the 1,500+ member Data Innovation DC MeetUp that focuses on the use of data for value creation.

BioCoder #10 BioCoder is a quarterly newsletter for DIYbio, synthetic bio, and anything related. You?ll discover: Articles about interesting projects and experiments, such as the glowing plant Articles about tools, both those you buy and those you build Visits to DIYbio laboratories Profiles of key people in the community Announcements of events and other items of interest Safety pointers and tips about good laboratory practice Anything that?s interesting or useful: you tell us! And BioCoder is free (for the time being), unless you want a dead-tree version. We?d like BioCoder to become self supporting (maybe even profitable), but we?ll worry about that after we?ve got a few issues under our belt. If you?d like to contribute, send email to BioCoder@oreilly.com. Tell us what you?d like to do, and we?ll get you started.

Microservices vs. Service-Oriented Architecture Right now, the microservices architecture pattern is a rising star in the IT industry. For many, these small, highly decoupled services are a welcome alternative to the big, expensive, complicated Service-Oriented Architecture (SOA) style that came to prominence a decade ago. But just how different are microservices from SOA? In this report, Mark Richards, an expert in enterprise architectures and distributed systems, walks you through a detailed comparison of microservices and SOA. By learning the core differences between the two with regard to architecture style and characteristics, service characteristics, and capability, you?ll be able to make an informed choice when determining which is best for your particular situation. Explore service contracts, availability, security, and transactions inherent in service-based architectures Compare microservices and SOA architecture characteristics such as taxonomy, ownership and coordination, and granularity Learn the differences in architecture capabilities, including application scope, heterogeneous interoperability, and contract decoupling Mark Richards is an experienced, hands-on software architect involved in the architecture, design, and implementation of microservices architectures, service-oriented architectures, and distributed systems in J2EE and other technologies. Active in the software industry since 1983, he is the author of several technical books and videos on application, integration, and enterprise architecture.

How Data Science Is Transforming Health Care In the early days of the 20th century, department store magnate JohnWanamaker famously said, "I know that half of my advertising doesn'twork. The problem is that I don't know which half." That remainedbasically true until Google transformed advertising with AdSense basedon new uses of data and analysis. The same might be said about healthcare and it's poised to go through a similar transformation as newtools, techniques, and data sources come on line. Soon we'll makepolicy and resource decisions based on much better understanding ofwhat leads to the best outcomes, and we'll make medical decisionsbased on a patient's specific biology. The result will be betterhealth at less cost. This paper explores how data analysis will help us structure thebusiness of health care more effectively around outcomes, and how itwill transform the practice of medicine by personalizing for eachspecific patient.

JS.Next: A Manager's Guide ECMAScript 6 includes an extensive list of new features, so many that it may feel overwhelming. In this concise book, author Aaron Frost offers you a look at the latest JS specification and explains why your organization cannot afford to ignore it. Speaking primarily to development managers, Frost describes several ES6 features and suggests some best practices to make your organization?s transition to ES6 easier. Specifically, this book explains: New features, such as arrow functions, default values, modules, rest parameters, sets, maps, and many others The rapid evolution of ECMAScript in the past decade and how ES6 came to be Several reasons why you need to consider integrating ES6 into your present and future projects sooner rather later How potential features for ES7, such as multi-threading and Traits, have already begun to appear Aaron Frost is Senior Front-end Developer at Domo, Inc., a Utah-based company that provides business intelligence as a service.

The Web Platform JavaScript, HTML, and CSS provide strong foundations for websites, applications, and content. This unique combination gives developers the power to create document or application structure and content, use native-speed tools to style and even animate that content, and customize behavior and interaction. Though web structures are very different from traditional programming models, they offer unique strengths and opportunities. Their evolution is continuous, helping to drive a new generation of applications that are reshaping the classic desktop market and challenging native mobile contenders. In The Web Platform: Building a Solid Stack of HTML, CSS, and JavaScript , O'Reilly Senior Editor and Fluent Conference Chair Simon St.Laurent explores the possibilities that open when you take web technologies seriously, applying them to a wide variety of projects. Topics include: HTML: Moving Beyond the Standard The Power of Markup CSS Selectors Have Superpowers JavaScript: Not as Expected From JavaScript to Declarative Markup Toward Responsive Web Programming Will JavaScript Take Over the Programming World?