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online world books for student

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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.