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Azure Stack Architecture: By Kerrie Meyler, Steve Buchanan, Janaka Rangama, Mark Scholman, Jakob Gottlieb Svendsen; Jun 15, 2018; Get an overview of the Azure Stack integrated system and Azure Stack internals.

Barriers to Scrum Adoption: By Matthew Heusser; Jun 27, 2011; Scrum sounds great, but it sure seems to go wrong a lot. Matt Heusser discusses obstacles and how to go over them or around them, and sometimes just blow them up.

Basic Quantum Theory: By William (Chuck) Easttom II; Jan 8, 2022; An introduction to various aspects of quantum theory.

Basic Theories of Game Design: By Jeremy Gibson Bond; Sep 2, 2017; Professor Jeremy Gibson Bond outlines the basic theories of game design and development and walks you through a game design exercise.

Batch Distillation: By Phillip C. Wankat; Nov 19, 2016; Phillip C. Wankat discusses batch distillation, an important part of the production of seasonal, or low capacity and high-purity chemicals and is a very frequent separation process in the pharmaceutical industry.

Becoming a Software Developer Part 2: Test Driven Development with Ruby: By Pete McBreen; Apr 12, 2002; Developers can become more productive and spend a lot less time debugging code by creating Extreme Programming style unit tests before the rest of the code is written. Every "Ruby nuby" should learn about test-driven development and create unit tests.

Becoming a Software Developer Part 3: Version Control for Fun and Profit: By Pete McBreen; Apr 19, 2002; Although version control is an old technology, few developers take the time to think about how it can help them become more effective. This article looks at how frequent versioning can take some of the stress out of software development.

Becoming a Software Developer Part 4: Understanding Use Cases and Requirements: By Pete McBreen; May 1, 2002; Where do requirements come from? How can use cases help to record requirements? What does a good use case look like? What do I do with a use case once I have it?

Becoming a Software Developer Part 5: Creating Acceptance Tests from Use Cases: By Pete McBreen; May 10, 2002; As well as being a great input into our design activities, use cases are a fantastic aid to our quality assurance activities in that they provide the information we need to design acceptance test cases.

Becoming a Software Developer Part 7: Ruby for the Internet Nuby: By Pete McBreen; May 24, 2002; It's easy to write simple scripts for sending emails — but hard to make sure that your application deals with all the weird and wonderful things that can go wrong.

Becoming a Software Developer, Part 6: Design and Programming: By Pete McBreen; May 17, 2002; The step between having a design idea and the "simple matter" of programming that idea is a massive one. Understanding why programming is not easy is a first step toward mastering the craft of programming.

Behavior-Driven Development (BDD) Examples: By Richard Lawrence, Paul Rayner; Jun 21, 2019; A look at how to explore the behavior of a new user story by collaborating around examples with a cross-functional team.

Being Methodical About Test Design: By James A. Whittaker; Dec 29, 2009; James Whittaker suggests that developers and testers treat the software as a system and consider specific system attributes and properties as a way to design test cases. As he explains, applying these ideas at Google has resulted in both more effective manual testing and a new way to design test automation.

Bending of Beams: By Ansel C. Ugural, Saul K. Fenster; Aug 1, 2019; This excerpt discusses the bending of straight as well as curved beams—that is, structural elements possessing one dimension significantly greater than the other two, usually loaded in a direction normal to the longitudinal axis.

Beyond Leaning In: My Year of Hackathons: By Wendy Fong; Dec 2, 2013; Eighty percent of success is showing up. San Francisco-based designer and educator explains how showing up to one hackathon changed her life.

Big Data Adoption and Planning Considerations: By Thomas Erl, Paul Buhler, Wajid Khattak; Feb 8, 2016; Big Data adoption can enable the sort of innovation that fundamentally alters the structure of a business, either in its products, services or organization. However, innovation management requires care: too many controlling forces can stifle the initiative and dampen the results, and too little oversight can turn a best intentioned project into a science experiment that never delivers promised results. It is against this backdrop that this chapter from Big Data Fundamentals: Concepts, Drivers & Techniques addresses Big Data adoption and planning considerations.

Big Data Analysis with MapReduce and Hadoop: By Steven Haines; Jan 9, 2013; Steven Haines presents an overview of Hadoop’s architecture and demonstrates, from a high-level, how to build a MapReduce application.

Big Data Analytics and NetFlow: By Omar Santos; Oct 19, 2015; This chapter from Network Security with NetFlow and IPFIX: Big Data Analytics for Information Security covers an introduction to big data analytics for cyber security, NetFlow and other telemetry sources for big data analytics for cyber security, Open Security Operations Center (OpenSOC), and understanding big data scalability.

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