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Programming Elastic MapReduce (Paperback)

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    Programming Elastic MapReduce (Paperback)
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    Although you donít need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud b...

    Details

    ITEM#: 15198320

    Although you donít need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS).

    Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, youíll learn how to assemble the building blocks necessary to solve your biggest data analysis problems.

    • Get an overview of the AWS and Apache software tools used in large-scale data analysis
    • Go through the process of executing a Job Flow with a simple log analyzer
    • Discover useful MapReduce patterns for filtering and analyzing data sets
    • Use Apache Hive and Pig instead of Java to build a MapReduce Job Flow
    • Learn the basics for using Amazon EMR to run machine learning algorithms
    • Develop a project cost model for using Amazon EMR and other AWS tools

    Specs

    Kevin J. Schmidt is a senior manager at Dell SecureWorks, Inc., anindustry leading MSSP, which is part of Dell. He is responsible for the design and development of a major part of the companyís SIEM platform. This includes data acquisition, correlation, and analysis of log data. Prior to SecureWorks, Kevin worked for Reflex Security, where he worked on an IPS engine and anti-virus software. And prior to this, he was a lead developer and architect at GuardedNet, Inc., which built one of the industryís first SIEM platforms.

    He is also a commissioned officer in the United States Navy Reserve (USNR). He has over 19 years of experience in software development and design, 11 of which have been in the network security space. He holds a Bachelor of Science in Computer Science.

    Kevin has spent time designing cloud services components at Dell, including virtualized components to run in Dellís own vCloud. These components are used to protect customers who use Dellís cloud infrastructure. Additionally, he has been working with Hadoop, machine learning, and other technology in the cloud.

    Kevin is co-author of Essential SNMP, second edition (OíReilly and Associates, ISBN: 978-0-596-00840-6) and also Logging and Log Management: The Authoritative Guide to Understanding the Concepts Surrounding Logging and Log Management (Syngress, ISBN: 978-1-597-49635-3).

    Christopher Phillips is a manager and senior software developer at Dell SecureWorks, Inc, an industry leading MSSP, which is part of Dell. He is responsible for the design and development of the companyís Threat Intelligence service platform. He also has responsibility for a team involved in integrating log and event information from many third-party providers that allow customers to have all of their core security information delivered to and analyzed by the Dell SecureWorks systems and security professionals.

    Prior to Dell SecureWorks, Chris worked for McKesson and Allscripts, where he worked with clients on HIPAA compliance, security, and healthcare systems integration. He has over 18 years of experience in software development and design. He holds a Bachelor of Science in Computer Science and an MBA.

    Chris has spent time designing and developing virtualization and cloud Infrastructure as a Service strategies at Dell to help our security services scale globally Additionally, he has been working with Hadoop, Pig scripting languages, and Amazon Elastic Map Reduce to develop strategies to gain insights and analyze Big Data issues in the cloud.

    Chris is co-author of Logging and Log Management: The Authoritative Guide to Understanding the Concepts Surrounding Logging and Log Management (Syngress, ISBN: 978-1-597-49635-3).

    ISBN 9781449363628
    Author Schmidt, Kevin
    Genre COMPUTERS / Data Processing
    Format Paperback
    Pages 155
    Publisher Date 2013-12-29 00:00:00.0
    Publisher Oreilly & Associates Inc
    Copyright Year 2014
    Height 9.25 in
    Wdth 7.0 in
    Thickness 0.5 in
    Unit weight 0.66 lb
    Language English
    Audience College/higher education

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