Tag Archives: Hadoop:

2015 Computer and Internet Collection part 1 [PDF]-MiMESiS

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2015 Computer and Internet Collection part 1 [PDF]-MiMESiS
English | PDF | Ebooks Collection | All In One | 1.552 GB

2015 Computer and Internet Collection part 1 [PDF]-MiMESiS
Ebooks included

Addison-Wesley Ethics for the Information Age 6th (2015).pdf
Addison-Wesley Fundamentals of Web Development (2014).pdf
Apress Advanced Actionscript 3, Design Patterns 2nd (2015).pdf
Apress Beginning Apache Cassandra Development (2014).pdf
Apress Beginning Java 8 Games Development (2014).pdf
Apress Beginning Node,js (2014).pdf
Apress Beginning Photo Retouching and Restoration Using GIMP (2014).pdf
Apress Beginning RPG Maker VX Ace (2014).pdf
Apress Beginning SQL Server for Developers 4th (2015).pdf
Apress Beginning iPhone Development, Exploring the iOS SDK 7th (2014).pdf
Apress Big Data Made Easy, A Working Guide to the Complete Hadoop Toolset (2015).pdf
Apress Data Scientists at Work (2014).pdf
Apress Database Systems, A Pragmatic Approach (2014).pdf
Apress Disruption by Design, How to Create Products that Disrupt and then Dominate Markets (2014).pdf
Apress Everyday Computing with Windows 8.1 (2015).pdf
Apress Exporting Essentials, Selling Products and Services to the World Successfully (2014).pdf
Apress Express.js Deep API Reference (2014).pdf
Apress Financial Ratios for Executives, How to Assess Company Strength Fix Problems and Make Better Decisions (2015).pdf
Apress Learn SpriteBuilder for iOS Game Development (2014).pdf
Apress Learn iOS 8 App Development 2nd (2014).pdf
Apress MATLAB Graphical Programming (2014).pdf
Apress PHP Solutions, Dynamic Web Design Made Easy 3rd (2014).pdf
Apress Planning and Designing Effective Metrics (2015).pdf
Apress Practical Hadoop Security (2014).pdf
Apress Practical Linux Infrastructure (2015).pdf
Apress Practical Neo4j (2014).pdf
Apress Practical Salesforce.com Development without Code, Customizing Salesforce on the Force.com Platform (2015).pdf
Apress Pro Exchange 2013 SP1 PowerShell Administration, For Exchange On-Premises and Office 365 (2014).pdf
Apress Pro Express.js (2014).pdf
Apress Pro Office for iPad, How to Be Productive with Office for iPad (2014).pdf
Apress Pro Python 2nd (2014).pdf
Apress Pro iOS Persistence, Using Core Data (2014).pdf
Apress R Recipes, A Problem-Solution Approach (2014).pdf
Apress Ruby Quick Syntax Reference (2014).pdf
Apress SQL Server Integration Service Design Patterns 2nd (2014).pdf
Apress SQL Server Integration Services Design Patterns 2nd (2014).pdf
Apress Software Engineering, A Methodical Approach (2014).pdf
Apress Success in Programming, How to Gain Recognition Power and Influence through Personal Branding (2014).pdf
Apress Swift for Absolute Beginners (2015).pdf
Apress Swing for Jython, Graphical Jython UI and Scripts Development using Java Swing and WebSphere Application Server (2015).pdf
Apress Tax Insight, For Tax Year 2014 and Beyond 3rd (2015).pdf
Apress The Basics of Financial Modeling (2015).pdf
Apress The Community Manager's Playbook, How to Build Brand Awareness and Customer Engagement (2015).pdf
Apress The Manager's Guide to Web Application Security, A Concise Guide to the Weaker Side of the Web (2014).pdf
Apress The Profitable Supply Chain, A Practitioner's Guide (2015).pdf
Apress Transitioning to Swift (2014).pdf
Apress Trust-Based Selling, Finding and Keeping Customers for Life (2015).pdf
Apress University Startups and Spin-Offs, Guide for Entrepreneurs in Academia (2015).pdf
Apress Valuing and Selling Your Business, A Quick Guide to Cashing In (2014).pdf
Apress Visio Services Quick Guide, Using Visio with Sharepoint 2013 and Office 365 (2015).pdf
Apress Web Programming with Dart (2015).pdf
Apress Web Standards, Mastering HTML5 CSS3 and XML 2nd (2014).pdf
Butterworth-Heinemann Surveillance and Threat Detection, Prevention versus Mitigation (2014).pdf
Imperial College Press Computational Intelligence Applications in Smart Grids (2015).pdf
No Starch Press Android Security Internals, An In-Depth Guide to Android's Security Architecture (2015).pdf
No Starch Press Bitcoin for the Befuddled (2015).pdf
No Starch Press Black Hat Python, Python Programming for Hackers and Pentesters (2014).pdf
No Starch Press Build Your Own Website, A Comic Guide to HTML CSS and WordPress (2014).pdf
No Starch Press Eloquent javascript, A Modern Introduction to Programming 2d (2015).pdf
No Starch Press How Linux Works, What Every Superuser Should Know 2nd (2015).pdf
No Starch Press javascript for Kids, A Playful Introduction to Programming (2015).pdf
No Starch Press Lauren Ipsum, A Story about Computer Science and Other Improbable Things (2015).pdf
No Starch Press Rails Crash Course, A No-Nonsense Guide to Rails Development (2015).pdf
No Starch Press Ruby Wizardry, An Introduction to Programming for Kids (2015).pdf
No Starch Press The Book of CSS3, A Developer's Guide to the Future of Web Design 2nd (2015).pdf
No Starch Press The Book of PF, A No-Nonsense Guide to the OpenBSD Firewall 3rd (2015).pdf
No Starch Press The LEGO MINDSTORMS EV3 Idea Book, 181 Simple Machines and Clever Contraptions (2015).pdf
OReilly App Inventor 2, Create Your Own Android Apps (2015).pdf
OReilly Designing for Performance, Weighing Aesthetics and Speed (2015).pdf
OReilly Introducing iOS 8 (2015).pdf
OReilly Learning Agile (2015).pdf
OReilly Learning PHP MySQL and javascript, With jQuery CSS and HTML5 4th (2015).pdf
OReilly Mastering Bitcoin, Unlocking Digital Crypto-Currencies (2015).pdf
OReilly Mobile and Web Messaging (2014).pdf
OReilly Python for Finance, Analyze Big Financial Data (2014).pdf
OReilly Python for Finance, Analyze Big Financial Data (2015).pdf
OReilly Thoughtful Machine Learning (2015).pdf
OReilly iOS 8 Swift Programming Cookbook (2015).pdf
OReilly iPhone, The Missing Manual 8th (2014).pdf
Packt Publishing Blender 3D Basics, Beginner's Guide 2nd (2014).pdf
Packt Publishing Building Mapping Applications with QGIS (2014).pdf
Packt Publishing Building Web Applications with ArcGIS (2014).pdf
Packt Publishing Cassandra High Availability (2014).pdf
Packt Publishing CentOS System Administration Essentials (2014).pdf
Packt Publishing Flask Framework Cookbook (2014).pdf
Packt Publishing HBase Essentials (2014).pdf
Packt Publishing IPython Notebook Essentials (2014).pdf
Packt Publishing Java EE 7 Development with WildFly 2nd (2014).pdf
Packt Publishing javascript Security (2014).pdf
Packt Publishing Learning Alfresco Web Scripts (2014).pdf
Packt Publishing Learning AngularJS Animations (2014).pdf
Packt Publishing Learning AngularJS for .NET Developers (2014).pdf
Packt Publishing Learning Informatica PowerCenter 9.x (2014).pdf
Packt Publishing Learning Neo4j (2014).pdf
Packt Publishing Mastering javascript Design Patterns (2014).pdf
Packt Publishing OpenVZ Essentials (2014).pdf
Packt Publishing Penetration Testing with Perl (2014).pdf
Packt Publishing Puppet Essentials (2014).pdf
Packt Publishing Unity Game Development Blueprints (2014).pdf
Packt Publishing Web App Testing Using Knockout.JS (2014).pdf
Packt Publishing Web Application Development with Yii 2 and PHP 3rd (2014).pdf
Packt Publishing WebRTC Integrator's Guide (2014).pdf
Packt Publishing Yii Project Blueprints (2014).pdf
Packt Publishing scikit-learn Cookbook (2014).pdf
Pearson Education Publishing Logic and Computer Design Fundamentals 4th International Edition (2014).pdf
Pragmatic Bookshelf Publishing Metaprogramming Ruby 2, Program Like the Ruby Pros (2014).pdf
Springer Publishing Agile, The Good the Hype and the Ugly (2014).pdf
Springer Publishing Artificial General Intelligence, 7th International Conference AGI 2014 Quebec City Canada (2014).pdf
Springer Publishing Audio Watermark, A Comprehensive Foundation Using MATLAB (2015).pdf
Sybex CWNA, Certified Wireless Network Administrator Official Study Guide Exam CWNA-106 4th (2014).pdf
Wiley About Face, The Essentials of Interaction Design 4th (2014).pdf
Wiley Architecting the Cloud, Design Decision for Cloud Computing Service Models SaaS PaaS and IaaS (2014).pdf
Wiley Google BigQuery Analytics (2014).pdf
Wiley Java All-in-One for Dummies 4th (2014).pdf
Wiley javascript and JQuery, Interactive Front-End Web Development (2014).pdf
Wiley Lean Auditing, Driving Added Value and Efficiency in Internal Audit (2015).pdf
Wiley The Art of Memory Forensics, Detecting Malware and Threats in Windows Linux and Mac Memory (2014).pdf
Wiley iPad mini for Dummies 3rd (2015).pdf
Wrox Press Professional WordPress, Design and Development 3rd (2015).pdf
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Practical Hadoop Security

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Practical Hadoop Security by Bhushan Lakhe
2014 | ISBN: 1430265442 | English | 260 pages | PDF | 5 MB

Practical Hadoop Security
is an excellent resource for administrators planning a production Hadoop deployment who want to secure their Hadoop clusters. A detailed guide to the security options and configuration within Hadoop itself, author Bhushan Lakhe takes you through a comprehensive study of how to implement defined security within a Hadoop cluster in a hands-on way.

You will start with a detailed overview of all the security options available for Hadoop, including popular extensions like Kerberos and OpenSSH, and then delve into a hands-on implementation of user security (with illustrated code samples) with both in-the-box features and with security extensions implemented by leading vendors.

No security system is complete without a monitoring and tracing facility, so next steps you through audit logging and monitoring technologies for Hadoop, as well as ready to use implementation and configuration examples–again with illustrated code samples.

The book concludes with the most important aspect of Hadoop security – encryption. Both types of encryptions, for data in transit and data at rest, are discussed at length with leading open source projects that integrate directly with Hadoop at no licensing cost.

:

Explains importance of security, auditing and encryption within a Hadoop installation
Describes how the leading players have incorporated these features within their Hadoop distributions and provided extensions
Demonstrates how to set up and use these features to your benefit and make your Hadoop installation secure without impacting performance or ease of use

What you'll learn

Understand your options for implementing Hadoop user security
Learn how to configure and set up security for your Hadoop cluster
Set up Hadoop audit logs, Hadoop metrics, monitoring technologies and related products
Configure and set up logging, metrics and monitoring for your Hadoop cluster
Discover and implement encryption for data in transit and data at rest
and much more.

Who this book is for

is an excellent resource for Hadoop administrators who want to secure their environment. IT management planning a production Hadoop environment will also find this text useful. This book is also for students who wish to learn about Hadoop security.
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Practical Hadoop Security EPUB

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Bhushan Lakhe, "Practical Hadoop Security"
English | 2014 | ISBN: 1430265442 | 260 pages | EPUB | 5 MB

Practical Hadoop Security EPUB
is an excellent resource for administrators planning a production Hadoop deployment who want to secure their Hadoop clusters. A detailed guide to the security options and configuration within Hadoop itself, author Bhushan Lakhe takes you through a comprehensive study of how to implement defined security within a Hadoop cluster in a hands-on way.

You will start with a detailed overview of all the security options available for Hadoop, including popular extensions like Kerberos and OpenSSH, and then delve into a hands-on implementation of user security (with illustrated code samples) with both in-the-box features and with security extensions implemented by leading vendors.

No security system is complete without a monitoring and tracing facility, so next steps you through audit logging and monitoring technologies for Hadoop, as well as ready to use implementation and configuration examples–again with illustrated code samples.

The book concludes with the most important aspect of Hadoop security – encryption. Both types of encryptions, for data in transit and data at rest, are discussed at length with leading open source projects that integrate directly with Hadoop at no licensing cost.

:

Explains importance of security, auditing and encryption within a Hadoop installation
Describes how the leading players have incorporated these features within their Hadoop distributions and provided extensions
Demonstrates how to set up and use these features to your benefit and make your Hadoop installation secure without impacting performance or ease of use

What you’ll learn

Understand your options for implementing Hadoop user security
Learn how to configure and set up security for your Hadoop cluster
Set up Hadoop audit logs, Hadoop metrics, monitoring technologies and related products
Configure and set up logging, metrics and monitoring for your Hadoop cluster
Discover and implement encryption for data in transit and data at rest
and much more.

Who this book is for

is an excellent resource for Hadoop administrators who want to secure their environment. IT management planning a production Hadoop environment will also find this text useful. This book is also for students who wish to learn about Hadoop security.

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Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset (PDF)

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Michael Frampton, "Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset"
English | ISBN: 1484200950, 1484200969 | 2015 | 392 pages | PDF | 15 MB
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.
As Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive).

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset (PDF)
The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade-someone just like author and big data expert Mike Frampton.

Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to use each tool. The book also explains the sliding scale of tools available depending upon data size and when and how to use them. Big Data Made Easy shows developers and architects, as well as testers and project managers, how to:
Store big data
Configure big data
Process big data
Schedule processes
Move data among SQL and NoSQL systems
Monitor data
Perform big data analytics
Report on big data processes and projects
Test big data systems

Big Data Made Easy also explains the best part, which is that this toolset is free. Anyone can download it and-with the help of this book-start to use it within a day. With the skills this book will teach you under your belt, you will add value to your company or client immediately, not to mention your career.

What you'll learn
How to install and employ Hadoop

How to install and use Hadoop-related tools like Hive, Storm, Pig, Solr, Oozie, Ambari, and many others
How to set up and test a big data system
How to scale the system for the amount of data at hand and the data you expect to accumulate
How those who have spent their careers in the SQL database world can apply their skills to building big data systems
Who this book is for

This book is for developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It's also for anyone who would like to further their career in this area by adding big data skills.
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Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset (PDF)

FREEDownload : Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset (PDF)

Michael Frampton, "Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset"
English | ISBN: 1484200950, 1484200969 | 2015 | 392 pages | PDF | 15 MB
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.
As Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive).

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset (PDF)
The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade-someone just like author and big data expert Mike Frampton.

Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to use each tool. The book also explains the sliding scale of tools available depending upon data size and when and how to use them. Big Data Made Easy shows developers and architects, as well as testers and project managers, how to:
Store big data
Configure big data
Process big data
Schedule processes
Move data among SQL and NoSQL systems
Monitor data
Perform big data analytics
Report on big data processes and projects
Test big data systems

Big Data Made Easy also explains the best part, which is that this toolset is free. Anyone can download it and-with the help of this book-start to use it within a day. With the skills this book will teach you under your belt, you will add value to your company or client immediately, not to mention your career.

What you'll learn
How to install and employ Hadoop

How to install and use Hadoop-related tools like Hive, Storm, Pig, Solr, Oozie, Ambari, and many others
How to set up and test a big data system
How to scale the system for the amount of data at hand and the data you expect to accumulate
How those who have spent their careers in the SQL database world can apply their skills to building big data systems
Who this book is for

This book is for developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It's also for anyone who would like to further their career in this area by adding big data skills.
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Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

FREEDownload : Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

Michael Frampton, "Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset"
English | ISBN: 1484200950, 1484200969 | 2015 | 392 pages | PDF | 15 MB

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.

As shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive).

The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade-someone just like author and big data expert Mike Frampton.

Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to use each tool. The book also explains the sliding scale of tools available depending upon data size and when and how to use them. Big Data Made Easy shows developers and architects, as well as testers and project managers, how to:
Store big data
Configure big data
Process big data
Schedule processes
Move data among SQL and NoSQL systems
Monitor data
Perform big data analytics
Report on big data processes and projects
Test big data systems

Big Data Made Easy also explains the best part, which is that this toolset is free. Anyone can download it and-with the help of this book-start to use it within a day. With the skills this book will teach you under your belt, you will add value to your company or client immediately, not to mention your career.

What you'll learn
How to install and employ Hadoop

How to install and use Hadoop-related tools like Hive, Storm, Pig, Solr, Oozie, Ambari, and many others
How to set up and test a big data system
How to scale the system for the amount of data at hand and the data you expect to accumulate
How those who have spent their careers in the SQL database world can apply their skills to building big data systems
Who this book is for

This book is for developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It's also for anyone who would like to further their career in this area by adding big data skills.
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Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

FREEDownload : Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

Michael Frampton, "Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset"
English | ISBN: 1484200950, 1484200969 | 2015 | 392 pages | PDF | 15 MB

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset
Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.

As shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive).

The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade-someone just like author and big data expert Mike Frampton.

Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to use each tool. The book also explains the sliding scale of tools available depending upon data size and when and how to use them. Big Data Made Easy shows developers and architects, as well as testers and project managers, how to:
Store big data
Configure big data
Process big data
Schedule processes
Move data among SQL and NoSQL systems
Monitor data
Perform big data analytics
Report on big data processes and projects
Test big data systems

Big Data Made Easy also explains the best part, which is that this toolset is free. Anyone can download it and-with the help of this book-start to use it within a day. With the skills this book will teach you under your belt, you will add value to your company or client immediately, not to mention your career.

What you'll learn
How to install and employ Hadoop

How to install and use Hadoop-related tools like Hive, Storm, Pig, Solr, Oozie, Ambari, and many others
How to set up and test a big data system
How to scale the system for the amount of data at hand and the data you expect to accumulate
How those who have spent their careers in the SQL database world can apply their skills to building big data systems
Who this book is for

This book is for developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It's also for anyone who would like to further their career in this area by adding big data skills.
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Hadoop in Practice

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Hadoop in Practice by Alex Holmes
English | 2012 | ISBN-10: 1617290238 | PDF + EPUB | 536 pages | 25 + 37 MB
Hadoop in Practice collects 85 Hadoop examples and presents them in a problem/solution format. Each technique addresses a specific task you'll face, like querying big data using Pig or writing a log file loader.

Hadoop in Practice
You'll explore each problem step by step, learning both how to build and deploy that specific solution along with the thinking that went into its design. As you work through the tasks, you'll find yourself growing more comfortable with Hadoop and at home in the world of big data.
About the Technology

Hadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers developers handy ways to store, manage, and analyze data.
About the Book

Hadoop in Practice collects 85 battle-tested examples and presents them in a problem/solution format. It balances conceptual foundations with practical recipes for key problem areas like data ingress and egress, serialization, and LZO compression. You'll explore each technique step by step, learning how to build a specific solution along with the thinking that went into it. As a bonus, the book's examples create a well-structured and understandable codebase you can tweak to meet your own needs.

This book assumes the reader knows the basics of Hadoop.
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Hadoop in Practice

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Hadoop in Practice by Alex Holmes
English | 2012 | ISBN-10: 1617290238 | PDF + EPUB | 536 pages | 25 + 37 MB
Hadoop in Practice collects 85 Hadoop examples and presents them in a problem/solution format. Each technique addresses a specific task you'll face, like querying big data using Pig or writing a log file loader.

Hadoop in Practice
You'll explore each problem step by step, learning both how to build and deploy that specific solution along with the thinking that went into its design. As you work through the tasks, you'll find yourself growing more comfortable with Hadoop and at home in the world of big data.
About the Technology

Hadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers developers handy ways to store, manage, and analyze data.
About the Book

Hadoop in Practice collects 85 battle-tested examples and presents them in a problem/solution format. It balances conceptual foundations with practical recipes for key problem areas like data ingress and egress, serialization, and LZO compression. You'll explore each technique step by step, learning how to build a specific solution along with the thinking that went into it. As a bonus, the book's examples create a well-structured and understandable codebase you can tweak to meet your own needs.

This book assumes the reader knows the basics of Hadoop.
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Pro Hadoop

FREE Download : Pro Hadoop

Pro Hadoop
Apr–s | ISBN: 1430219424 | PDF | 325 pages | 6.2 MB

Book Description
You've heard the hype about Hadoop: it runs petabyte-scale data mining tasks insanely fast, it runs gigantic tasks on clouds for absurdly cheap, it's been heavily committed to by tech giants like IBM, Yahoo!, and the Apache Project, and it's completely open source (thus free).

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