• Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale

    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]

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    • ISBN: 1491901632
    • Brand: O'Reilly Media
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  • Big Data Made Accessible: 2019 edition

    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]

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  • Programming Hive: Data Warehouse and Query Language for Hadoop

    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]

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    • Manufacturer: O'Reilly Media

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  • High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark

    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]

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  • Learn Hadoop in 1 Day: Master Big Data with this complete Guide

    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]

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  • Big Data: Principles and best practices of scalable realtime data systems

    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]

    • ASIN: 1617290343
    • ASIN: 1617290343
    • ISBN: 1617290343
    • Brand: Manning Publications
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  • Hadoop Application Architectures: Designing Real-World Big Data Applications

    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]

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    • ASIN: 1491900083
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    • Brand: O Reilly Media
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  • Learn Hbase in 1 Day: Definitive guide to learn hbase and big data

    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]

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  • Learning Spark: Lightning-Fast Big Data Analysis

    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]

    • ASIN: 1449358624
    • ASIN: 1449358624
    • ISBN: 1449358624
    • Brand: O Reilly Media
    • Manufacturer: O'Reilly Media

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  • Hadoop: The Definitive Guide

    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]

    • ASIN: 1449311520
    • ASIN: 1449311520
    • ISBN: 1449311520
    • Manufacturer: Yahoo Press

  • CUDA Fortran for Scientists and Engineers : Best Practices for Efficient CUDA Fortran Programming

    CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran

    • UPC: 27548723

  • Java: Best Practices to Programming Code with Java - eBook

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  • Microsoft SQL Server 2012 with Hadoop - eBook

    This book will be a step-by-step tutorial, which practically teaches working with big data on SQL Server through sample examples in increasing complexity. Microsoft SQL Server 2012 with Hadoop is specifically targeted at readers who

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  • Scaling Big Data with Hadoop and Solr - Second Edition - eBook

    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

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    This book is a step-by-step tutorial that will enable you to leverage the flexible search functionality of Apache Solr together with the Big Data power of Apache Hadoop. Scaling Big Data with Hadoop and Solr

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  • Hadoop in Action

    Intended for programmers, architects, and project managers who have to process large amounts of data off-line, "Hadoop in Action" explains how to use Hadoop and presents design patterns and practices of programming

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  • Scaling Big Data with Hadoop and Solr - Second Edition

    Scaling Big Data with Hadoop and Solr - Second

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    Powershell: 2 Books in 1: The Comprehensive Beginners Guide to Taking Control of the Powershell Command Line & Best Practices to

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