This is a complete guide for understanding Oracle's approach to Hadoop and making the most of big data inside the Oracle ecosystem.
Hadoop and Oracle: The Why, When & How Guide reveals best practices for leveraging Oracle Big Data Connectors and Oracle Big Data Appliance using Hadoop. It also offers the insider tips and techniques for those who implement enterprise installations without using emerging engineered systems.
Oracle big data experts offer real-world scenarios for the most efficient and powerful use of Hadoop for legacy hardware and database installations. They show how to build faster, more secure, and better big data operations for all Oracle customers. This Oracle Press book offers complete coverage of all big data connectors: Oracle Loader for Hadoop; Oracle Data Integrator Application Adapter for Hadoop; Oracle R Connector for Hadoop; Oracle Direct Connector for HDFS.
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This Oracle Press guide thoroughly discusses Oracle's approach to Hadoop and how to make the most of big data inside the Oracle ecosystem to build fast, effective, and secure big data operations.About the Author:
Tom Plunkett is the big data technical lead for Oracle Public Sector. In 2012, he helped the National Cancer Institute win the Government Big Data Solutions Award for analyzing cancer-genome relationships with Apache Hadoop. Tom is a coauthor of The Oracle Big Data Handbook and Oracle Exalogic Elastic Cloud Handbook.
Brian Macdonald is a distinguished solution consultant and certified Oracle Enterprise Architect with Oracle. He has more than 20 years of experience creating architectures and implementing analytic platforms to address a wide range of customer needs, including data warehousing, business intelligence, OLAP, Hadoop, master data management, and ETL technologies.
Bruce Nelson is the big data lead for the western US for Oracle and has more than 24 years of experience in the IT industry with a focus on Hadoop and noSQL, high-performance database systems, including Oracle, and MPP systems.
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