Pro Apache Hadoop

Pro Apache Hadoop
Sameer Wadkar (Author), Madhu Siddalingaiah (Author), Jason Venner (Author)

New!: $44.99 $31.20 (as of 08/30/2014 22:40 PST)

Hardware

Oracle Big Data Handbook (Oracle Press)

Oracle Big Data Handbook (Oracle Press)
Tom Plunkett (Author), Brian Macdonald (Author), Bruce Nelson (Author), Mark Hornick (Author), Helen Sun (Author), Khader Mohiuddin (Author), Debra Harding (Author), Gokula Mishra (Author), Robert Stackowiak (Author), Keith Laker (Author), David Segleau (Author)
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New!: $65.00 $43.57 (as of 09/10/2013 20:27 PST)
3 Used! | New! from $43.57 (as of 09/10/2013 20:27 PST)

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Transform Big Data into Insight

"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache Hadoop

Cowritten by members of Oracle's big data team, Oracle Big Data Handbook provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings. Best practices for migrating from legacy systems and integrating existing data warehousing and analytics solutions into an enterprise big data infrastructure are also included in this Oracle Press guide.

• Understand the value of a comprehensive big data strategy
• Maximize the distributed processing power of the Apache Hadoop platform
• Discover the advantages of using Oracle Big Data Appliance as an engineered system for Hadoop and Oracle NoSQL Database
• Configure, deploy, and monitor Hadoop and Oracle NoSQL Database using Oracle Big Data Appliance
• Integrate your existing data warehousing and analytics infrastructure into a big data architecture
• Share data among Hadoop and relational databases using Oracle Big Data Connectors
• Understand how Oracle NoSQL Database integrates into the Oracle Big Data architecture
• Deliver faster time to value using in-database analytics
• Analyze data with Oracle Advanced Analytics (Oracle R Enterprise and Oracle Data Mining), Oracle R Distribution, ROracle, and Oracle R Connector for Hadoop
• Analyze disparate data with Oracle Endeca Information Discovery
• Plan and implement a big data governance strategy and develop an architecture and roadmap

• Rank: #71833 in Books
• Published on: 2013-09-04
• Original language: English
• Number of items: 1
• Dimensions: .0" h x .0" w x .0" l, 1.69 pounds
• Binding: Paperback
• 464 pages

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

Big Data: Principles and best practices of scalable realtime data systems
Nathan Marz (Author), James Warren (Author)

New!: $49.99 $26.36 (as of 05/11/2013 08:31 PST)

Hardware

Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. As scale and demand increase, so does Complexity. Fortunately, scalability and simplicity are not mutually exclusive—rather than using some trendy technology, a different approach is needed. Big data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers.

Big Data shows how to build these 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 use them in practice, and how to deploy and operate them once they're built.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

• Rank: #57295 in Books
• Published on: 2013-09-28
• Original language: English
• Number of items: 1
• Binding: Paperback
• 425 pages