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Perform real-time analytics using Spark in a fast, distributed, and scalable way About This BookDevelop a machine learning system with Spark's MLlib and scalable algorithmsDeploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so onThis is a step-by-step tutorial that unleashes the power of Spark and its latest featuresWho This Book Is ForFast Data Processing with Spark - Second Edition is for software developers who want to learn how to write distributed programs with Spark. It will help developers who have had problems that were too big to be dealt with on a single computer. No previous experience with distributed programming is necessary. This book assumes knowledge of either Java, Scala, or Python.What You Will Learn Install and set up Spark on your cluster Prototype distributed applications with Spark's interactive shell Learn different ways to interact with Spark's distributed representation of data (RDDs) Query Spark with a SQL-like query syntax Effectively test your distributed software Recognize how Spark works with big data Implement machine learning systems with highly scalable algorithms In DetailSpark is a framework used for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does, but with a fast in-memory approach [...]

"Views differ on bitcoin, but few doubt the transformative potential of Blockchain technology. The Truth Machine is the best book so far on what has happened and what may come along. It demands the attention of anyone concerned with our economic future." —Lawrence H. Summers, Charles W. Eliot University Professor and President Emeritus at Harvard, Former Treasury SecretaryFrom Michael J. Casey and Paul Vigna, the authors of The Age of Cryptocurrency, comes the definitive work on the Internet’s Next Big Thing: The Blockchain.Big banks have grown bigger and more entrenched. Privacy exists only until the next hack. Credit card fraud is a fact of life. Many of the “legacy systems” once designed to make our lives easier and our economy more efficient are no longer up to the task. Yet there is a way past all this—a new kind of operating system with the potential to revolutionize vast swaths of our economy: the blockchain. In The Truth Machine, Michael J. Casey and Paul Vigna demystify the blockchain and explain why it can restore personal control over our data, assets, and identities; grant billions of excluded people access to the global economy; and shift the balance of power to revive [...]

Efficiently perform data manipulation using the split-apply-combine strategy in R About This BookPerform data manipulation with add-on packages such as plyr, reshape, stringr, lubridate, and sqldfLearn about factor manipulation, string processing, and text manipulation techniques using the stringr and dplyr librariesEnhance your analytical skills in an intuitive way through step-by-step working examplesWho This Book Is ForThis book is for all those who wish to learn about data manipulation from scratch and excel at aggregating data effectively. It is expected that you have basic knowledge of R and have previously done some basic administration work with R.What You Will Learn Learn about R data types and their basic operations Work efficiently with string, factor, and date variables using stringr Understand group-wise data manipulation Work with different layouts of R datasets and interchange between layouts for varied purposes Manage bigger datasets using pylr and dpylr Perform data manipulation with add-on packages such as plyr, reshape, stringr, lubridate, and sqldf Manipulate datasets using SQL statements with the sqldf package Clean and structure raw data for data mining using text manipulation In DetailThis book starts with the installation of R and how to go about using R and its libraries. We then discuss the [...]

A FINANCIAL TIMES BOOK OF THE MONTH FROM THE WALL STREET JOURNAL: "Nothing Mr. Gilder says or writes is ever delivered at anything less than the fullest philosophical decibel... Mr. Gilder sounds less like a tech guru than a poet, and his words tumble out in a romantic cascade." “Google’s algorithms assume the world’s future is nothing more than the next moment in a random process. George Gilder shows how deep this assumption goes, what motivates people to make it, and why it’s wrong: the future depends on human action.” — Peter Thiel, founder of PayPal and Palantir Technologies and author of Zero to One: Notes on Startups, or How to Build the Future The Age of Google, built on big data and machine intelligence, has been an awesome era. But it’s coming to an end. In Life after Google, George Gilder—the peerless visionary of technology and culture—explains why Silicon Valley is suffering a nervous breakdown and what to expect as the post-Google age dawns. Google’s astonishing ability to “search and sort” attracts the entire world to its search engine and countless other goodies—videos, maps, email, calendars.And everything it offers is free, or so it seems. Instead of paying directly, [...]