Mastering this art will not only make you the most desired developer in the market, but it will transform the craziest deadline into "Consider it done, Sir".

    Based on experience, it is a guide for navigating the blockers, buzzwords and bloody-mindedness that doom any analogue organisation trapped into thinking that while the internet has changed the world, it won't change their world. Companies that grew up on the web have changed our expectations of the services we rely on. We demand simplicity, speed and low cost. Organizations founded before the Internet aren't keeping up - despite spending millions on IT, marketing and 'innovation'. This book is a guide to building a digital institution. It explains how a growing band of reformers in businesses and governments around the world have helped their organizations pivot to this new way of working, and what lessons others can learn from their experience. It is based on the authors' experience designing and helping to deliver the UK's Government Digital Service (GDS). The GDS was a new institution made responsible for the digital transformation of government, designing public services for the Internet era. It snipped �4 billion off the government's technology bill, opened up public sector contracts to thousands of new suppliers, and delivered online services so good that citizens chose to use them over the offline alternatives, without a big marketing campaign. Other countries and companies noticed, with the GDS model now being copied around the world.

    Survival was a constant battle for the Russian Witches. Despised by other witches for their rigid focus on contracts, they were without a moral compass, honorless. That was not good enough for some. For the young witch, Zhanna, life was not worth living without honor – or her magic. Could she find both in her homeland? Would her desire and drive be enough to locate her shade of honor?

    This fully updated and expanded book is not about how the music business should work, but how it does work. Industry insider Moses Avalon tells it like it is how producers dip into budgets, artists steal songs, lawyers write contracts in code and shows you how to survive these and other career-stifling situations. Deconstructing actual major and indie-label record deals, this book dissects each party's involvement and offers perspective on their actual roles, how much they get paid, and what their agendas really are. Engineers, managers, producers, artists, labels and lawyers each take their turn in the hot seat. It also outlines realistic alternatives for newcomers, such as "baby" production deals and vanity labels. This third edition includes: an entire chapter comparing ASCAP and BMI a publishing first * new insights for indie artists, including the lowdown on digital-distribution scams and independent A&R * information on new legislation and its impact on sampling and other legal matters * new music-industry "family trees" that reflect recent consolidation and reorganization * 80 pages of new material * and much more.

    Because of technological change the two trends are converging so that all that we need for transacting will be our identities captured in the unique record of our online social contacts. Social networks and mobile phones are the key technologies. They will enable the building of an identity infrastructure that can enhance both privacy and security - there is no trade-off. The long-term consequences of these changes are impossible to predict, partly because how they take shape will depend on how companies take advantage of business opportunities to deliver transaction services. But one prediction made here is that cash will soon be redundant - and a good thing too. In its place we will see a proliferation of new digital currencies.

    Right?! Machine Learning is a branch of computer science that wants to stop programming computers using a detailed list of commands to follow blindly. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are called algorithms. In practice, they want to give computers the ability to Learn and to Adapt. We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before – or even knew existed. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by most people. Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms used in the industry. I will show you exactly how each algorithm works, why it works and when you should use it. Supervised Learning Algorithms K-Nearest Neighbour Naïve Bayes Regressions Unsupervised Learning Algorithms: Support Vector Machines Neural Networks Decision Trees

    Terms and phrases such as "the global village" and "the medium is the message" are now part of the lexicon, and McLuhan's theories continue to challenge our sensibilities and our assumptions about how and what we communicate.There has been a notable resurgence of interest in McLuhan's work in the last few years, fueled by the recent and continuing conjunctions between the cable companies and the regional phone companies, the appearance of magazines such as WiRed, and the development of new media models and information ecologies, many of which were spawned from MIT's Media Lab. In effect, media now begs to be redefined. In a new introduction to this edition of Understanding Media, Harper's editor Lewis Lapham reevaluates McLuhan's work in the light of the technological as well as the political and social changes that have occurred in the last part of this century.

    Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be reasoned out--from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft--indeed, brilliant--instructions on stripping away irrelevancies and going straight to the heart of the problem.

    Reputations are dying. Don't let it happen to your company, your team, or your family. You need to turn this potential liability into leadership, and you need to start today. Learn the art and science behind why digital reputations are determining: business winners and losers, your child's future, effective vs. ineffective CEOs & school teachers, your team's culture, church congregation sizes, your next job, everything..

    This long-awaited culmination of Herrmann's highly respected research and testing presents his four-quadrant model of the brain and the corresponding thinking styles. 100 illustrations.

    As a modern application developer you need to understand the emerging field of data management, both RDBMS and NoSQL. Seven Databases in Seven Weeks takes you on a tour of some of the hottest open source databases today. In the tradition of Bruce A. Tate's Seven Languages in Seven Weeks, this book goes beyond your basic tutorial to explore the essential concepts at the core each technology. Redis, Neo4J, CouchDB, MongoDB, HBase, Riak and Postgres. With each database, you'll tackle a real-world data problem that highlights the concepts and features that make it shine. You'll explore the five data models employed by these databases-relational, key/value, columnar, document and graph-and which kinds of problems are best suited to each. You'll learn how MongoDB and CouchDB are strikingly different, and discover the Dynamo heritage at the heart of Riak. Make your applications faster with Redis and more connected with Neo4J. Use MapReduce to solve Big Data problems. Build clusters of servers using scalable services like Amazon's Elastic Compute Cloud (EC2). Discover the CAP theorem and its implications for your distributed data. Understand the tradeoffs between consistency and availability, and when you can use them to your advantage. Use multiple databases in concert to create a platform that's more than the sum of its parts, or find one that meets all your needs at once.Seven Databases in Seven Weeks will take you on a deep dive into each of the databases, their strengths and weaknesses, and how to choose the ones that fit your needs.What You Need: To get the most of of this book you'll have to follow along, and that means you'll need a *nix shell (Mac OSX or Linux preferred, Windows users will need Cygwin), and Java 6 (or greater) and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database.

    This title identifies the twelve fundamental design principles for building killer apps. It illustrates these principles with classic stories from history and examples from a range of industries that have successfully developed killer apps.

    Using Service-Oriented Architecture (SOA), enterprises can deliver high-value business services more rapidly and effectively, and gain unprecedented flexibility and value from existing IT infrastructure. SOA has earned the support of virtually every major software provider, and some 75% of enterprises surveyed are now investing in SOA technology and expertise. In Service-Oriented Architecture: Concepts, Technology, and Design, the author of 2004's best-selling SOA book presents the first end-to-end-tutorial for modeling and designing successful service-oriented architectures from the ground up. Writing in plain English, Thomas Erl provides step-by-step process descriptions for analyzing and designing any service or service-oriented business process definition.

    It took the open source world by storm since its inception in 2005, and is used by small development shops and giants like Google, Red Hat, and IBM, and of course many open source projects.A book by Git experts to turn you into a Git expert. Introduces the world of distributed version control Shows how to build a Git development workflow.

    For decades, technology leaders have struggled to balance agility, reliability, and security. The consequences of failure have never been greater whether it's the healthcare.gov debacle, cardholder data breaches, or missing the boat with Big Data in the cloud.And yet, high performers using DevOps principles, such as Google, Amazon, Facebook, Etsy, and Netflix, are routinely and reliably deploying code into production hundreds, or even thousands, of times per day.Following in the footsteps of The Phoenix Project, The DevOps Handbook shows leaders how to replicate these incredible outcomes, by showing how to integrate Product Management, Development, QA, IT Operations, and Information Security to elevate your company and win in the marketplace."Table of contentsPrefaceSpreading the Aha! MomentIntroductionPART I: THE THREE WAYS1. Agile, continuous delivery and the three ways2. The First Way: The Principles of Flow3. The Second Way: The Principle of Feedback4. The Third Way: The Principles of Continual LearningPART II: WHERE TO START5. Selecting which value stream to start with6. Understanding the work in our value stream…7. How to design our organization and architecture8. How to get great outcomes by integrating operations into the daily work for developmentPART III: THE FIRST WAY: THE TECHNICAL PRACTICES OF FLOW9. Create the foundations of our deployment pipeline10. Enable fast and reliable automated testing11. Enable and practice continuous integration12. Automate and enable low-risk releases13. Architect for low-risk releasesPART IV: THE SECOND WAY: THE TECHNICAL PRACTICES OF FEEDBACK14*. Create telemetry to enable seeing abd solving problems15. Analyze telemetry to better anticipate problems16. Enable feedbackso development and operation can safely deploy code17. Integrate hypothesis-driven development and A/B testing into our daily work18. Create review and coordination processes to increase quality of our current workPART V: THE THRID WAY: THE TECHNICAL PRACTICES OF CONTINUAL LEARNING19. Enable and inject learning into daily work20. Convert local discoveries into global improvements21. Reserve time to create organizational learning22. Information security as everyone’s job, every day23. Protecting the deployment pipelinePART VI: CONCLUSIONA call to actionConclusion to the DevOps HandbookAPPENDICES1. The convergence of Devops2. The theory of constraints and core chronic conflicts3. Tabular form of downward spiral4. The dangers of handoffs and queues5. Myths of industrial safety6. The Toyota Andon Cord7. COTS Software8. Post-mortem meetings9. The Simian Army10. Transparent uptimeAdditional ResourcesEndnotes