Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthca... [Read More]
This books fills the need for an easy and holistic book on essential Big Data technologies. Written in a lucid and simple language free from jargon and code, this book provides an intuition for Big Data from business as well as technological perspectives. This book is designed to provide the reader with the intuition behind this evolving area, along with a solid toolset of the major big data processing technologies such as Hadoop, MapReduce, Spark Streaming, and NoSql databases. A complete case study of developing a web log analyzer is included. The book also contains two primers on Cloud comp... [Read More]
Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem.This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used ... [Read More]
Program sticker size: 2.5-4.5 inches, 72 do not copy stickersHow to use: Clean the surface and then apply it. All stickers are made of high-quality vinyl, with a sunscreen and waterproof function.All your favorite program stickers: Angular, React, Redis, Android, Perl, CSS, Redhat, Mathworks, CentOS, Ubuntu, Bitcoin, Hadoop, V8, XML, Lua, Open Source Hardware, NodeJs, MongoDB, C Sharp, PHP , Ruby, Git, Sysadmin, Cloud, Spark, C++, Github Octocat, JS, Yeoman, Java, Docker, Vue, Microsoft.Use them to paste on your laptop, Macbook, computer, etc. It’s worth every penny you pay! They will improv... [Read More]
Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources.Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data applications, this book describes techniques that can reduce data infrastructure costs and develo... [Read More]
Hadoop has changed the way large data sets are analyzed, stored, transferred, and processed. At such low cost, it provides benefits like supports partial failure, fault tolerance, consistency, scalability, flexible schema, and so on. It also supports cloud computing. More and more number of individuals are looking forward to mastering their Hadoop skills.While initiating with Hadoop, most users are unsure about how to proceed with Hadoop. They are not aware of what are the pre-requisite or data structure they should be familiar with. Or How to make the most efficient use of Hadoop and ... [Read More]
SummaryBig Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Pub... [Read More]
Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together into a complete tailored application, based on your particular use case.To reinforce those lessons, the book’s second section provides detailed examples of architectures used in some of the most commonly found Hadoop applications. Whether you’re designing a new Hadoop application, or planning to integrate Hado... [Read More]
HBase data storage technology is rapidly adopted by traditional RDMS users. Unlike RDMS, where scaling the server vertically for a huge data is a big challenge. With HBase, you can do this easily. It allows you to integrate with Hadoop's MapReduce framework for massively parallelized data processing jobs. Many expert and beginners are asking for a point-to-point guide that helps them to get a complete insight on HBase working. This book will answer all their queries and give them a complete tour of HBase technology.In this edition, you will begin with some very basic concept like HBase’s ar... [Read More]
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates.Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with ju... [Read More]
Color: Random quantity:50pcs material: PVC Size: 2.5-4.5 inch How to use: Get your stickers, clean the surface, sticker on, then use your imagination to create works now! Best choice for laptop, graffiti, vintage, decal, skateboard, car, bumper, hover board, snowboard, helmet, luggage, trunk. All your favourite program stickers:Angular, React, Redis, Android, Perl, CSS, Redhat, Mathworks, CentOS, Ubuntu, Bitcoin, Hadoop, V8, XML, Lua, Open Source Hardware, NodeJs, MongoDB, C Sharp, PHP, Ruby, Git, Sysadmin, Cloud, Spark, C++, Github Octocat, JS, Yeoman, Java, Docker, Vue,Microsoft. Totally wo... [Read More]
Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN).Store large datas... [Read More]
Learn how to write effective and efficient JavaScript code for programming success and continue your progress towards JavaScript programming mastery!In this Definitive JavaScript Guide on Best Practices, you're about to discover how to...Code more efficiently
This book is aimed at developers, designers, and architects who would like to build big data enterprise search solutions for their customers or organizations. No prior knowledge of Apache Hadoop and Apache Solr/Lucene technologies is
Powershell: 2 Books in 1: The Comprehensive Beginners Guide to Taking Control of the Powershell Command Line & Best Practices to
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