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NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence

The need to handle increasingly larger data volumes is one factor driving the adoption of a new class of nonrelational “NoSQL” databases. Advocates of NoSQL databases claim they can be used to build systems that are more performant, scale better, and are easier to program.   NoSQL Distilled is a concise but thorough introduction to this rapidly emerging technology. Pramod J. Sadalage and Martin Fowler explain how NoSQL databases work and the ways that they may be a superior alternative to a traditional RDBMS. The authors provide a fast-paced guide to the concepts you need to know in order to evaluate whether NoSQL databases are right for your needs and, if so, which technologies you should explore further.   The first part of the book concentrates on core concepts, including schemaless data models, aggregates, new distribution models, the CAP theorem, and map-reduce. In the second part, the authors explore architectural and design issues associated with implementing NoSQL. They also present realistic use cases that demonstrate NoSQL databases at work and feature representative examples using Riak, MongoDB, Cassandra, and Neo4j.   In addition, by drawing on Pramod Sadalage’s[...]

Privacy and Big Data: The Players, Regulators, and Stakeholders

Much of what constitutes Big Data is information about us. Through our online activities, we leave an easy-to-follow trail of digital footprints that reveal who we are, what we buy, where we go, and much more. This eye-opening book explores the raging privacy debate over the use of personal data, with one undeniable conclusion: once data's been collected, we have absolutely no control over who uses it or how it is used.Personal data is the hottest commodity on the market today—truly more valuable than gold. We are the asset that every company, industry, non-profit, and government wants. Privacy and Big Data introduces you to the players in the personal data game, and explains the stark differences in how the U.S., Europe, and the rest of the world approach the privacy issue.You'll learn about:Collectors: social networking titans that collect, share, and sell user dataUsers: marketing organizations, government agencies, and many othersData markets: companies that aggregate and sell datasets to anyoneRegulators: governments with one policy for commercial data use, and another for providing security[...]

Ethics of Big Data: Balancing Risk and Innovation

What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and productive ethical inquiry into your current data practices.Both individuals and organizations have legitimate interests in understanding how data is handled. Your use of data can directly affect brand quality and revenue—as Target, Apple, Netflix, and dozens of other companies have discovered. With this book, you’ll learn how to align your actions with explicit company values and preserve the trust of customers, partners, and stakeholders.Review your data-handling practices and examine whether they reflect core organizational valuesExpress coherent and consistent positions on your organization’s use of big dataDefine tactical plans to close gaps between values and practices—and discover how to maintain alignment as conditions change over timeMaintain a balance between the benefits of innovation and the risks of unintended consequences[...]

Innovation And Entrepreneurship

Innovation And Entrepreneurship[...]

Smarter Faster Better: The Secrets of Being Productive in Life and Business

NEW YORK TIMES BESTSELLER • From the author of The Power of Habit comes a fascinating book that explores the science of productivity, and why managing how you think is more important than what you think—with an appendix of real-world lessons to apply to your life. At the core of Smarter Faster Better are eight key productivity concepts—from motivation and goal setting to focus and decision making—that explain why some people and companies get so much done. Drawing on the latest findings in neuroscience, psychology, and behavioral economics—as well as the experiences of CEOs, educational reformers, four-star generals, FBI agents, airplane pilots, and Broadway songwriters—this painstakingly researched book explains that the most productive people, companies, and organizations don’t merely act differently. They view the world, and their choices, in profoundly different ways.A young woman drops out of a PhD program and starts playing poker. By training herself to envision contradictory futures, she learns to anticipate her opponents’ missteps—and becomes one of the most successful players in the world. A group of data scientists at Google embark on a four-year study of how the best teams function, and find that how a group interacts is more important than who is in the[...]

Hadoop MapReduce v2 Cookbook – Second Edition

Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasetsAbout This BookProcess large and complex datasets using next generation HadoopInstall, configure, and administer MapReduce programs and learn what’s new in MapReduce v2More than 90 Hadoop MapReduce recipes presented in a simple and straightforward manner, with step-by-step instructions and real-world examplesWho This Book Is ForIf you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.What You Will LearnConfigure and administer Hadoop YARN, MapReduce v2, and HDFS clustersUse Hive, HBase, Pig, Mahout, and Nutch with Hadoop v2 to solve your big data problems easily and effectivelySolve large-scale analytics problems using MapReduce-based applicationsTackle complex problems such as classifications, finding relationships, online marketing, recommendations, and searching using Hadoop MapReduce and other related projectsPerform massive text data processing using Hadoop MapReduce and[...]

Practical Data Analysis

For small businesses, analyzing the information contained in their data using open source technology could be game-changing. All you need is some basic programming and mathematical skills to do just that. Overview Explore how to analyze your data in various innovative ways and turn them into insight Learn to use the D3.js visualization tool for exploratory data analysis Understand how to work with graphs and social data analysis Discover how to perform advanced query techniques and run MapReduce on MongoDB In Detail Plenty of small businesses face big amounts of data but lack the internal skills to support quantitative analysis. Understanding how to harness the power of data analysis using the latest open source technology can lead them to providing better customer service, the visualization of customer needs, or even the ability to obtain fresh insights about the performance of previous products. Practical Data Analysis is a book ideal for home and small business users who want to slice and dice the data they have on hand with minimum hassle. Practical Data Analysis is a hands-on guide to understanding the nature of your data and turn it into insight. It will introduce you to the use of[...]

Python for Finance: Analyze Big Financial Data

The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include:Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practicesFinancial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regressionSpecial topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies[...]

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