Oracle Big Data Appliance Online Documentation Library
Release 4.9
Overview
Big Data Appliance Installation, Setup, and Use
Provides regulatory compliance and safety instructions for Oracle Big Data Appliance.
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Provides a site checklist to complete before the installation of Oracle Big Data Appliance.
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Describes data center site planning, network configuration, hardware and software installation, and maintenance of Oracle Big Data Appliance.
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Describes the Oracle Big Data Appliance software available to administrators and software developers.
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Provides a brief description of the plug-in, details on the versions the plug-in supports, prerequisites for installing the plug-in, instructions on use of the discovery wizard, post-discovery setup, and verifying and validating the plug-in.
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Describes how to use the Perfect Balance Java API.
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Describes licensing and support for Oracle Big Data Appliance.
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PDF for offline viewing
Big Data Connectors
Describes installation and use of Oracle Big Data Connectors: Oracle SQL Connector for Hadoop Distributed File System, Oracle Loader for Hadoop, Oracle Data Integrator, Oracle XQuery for Hadoop, Oracle R Advanced Analytics for Hadoop, and Oracle Datasource for Apache Hadoop.
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Provides a programming example using Oracle Loader for Hadoop.
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Describes how to install Oracle R Advanced Analytics for Hadoop (ORAAH), one of the components in the Oracle Big Data Connectors software suite. ORAAH provides an R interface for manipulating data stored in HDFS, using both HIVE transparency capabilities and mapping HDFS as direct input into Machine Learning algorithms.
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Provides a summary of what has changed and not changed in ORCHcore and ORCHstats.
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Provides comprehensive reference information for ORAAH functions.
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Provides information on new and changed features as well as issues to note in ORAAH 2.6.
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The matrix identifies supported ORAAH releases for versions of Oracle Big Data Appliance and for CDH on non-Oracle platforms.
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Big Data Spatial and Graph
Provides conceptual and usage information about Oracle Big Data Spatial and Graph, which enables you to create, store, and work with Spatial and Graph vector, raster, and property graph data in a Big Data environment.
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PDF for offline viewing
Provides Javadoc-generated information about interfaces and classes that support property graph features available with Big Data Spatial and Graph in Oracle NoSQL Database environments.
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Provides Javadoc-generated information about interfaces and classes that support property graph features available with Big Data Spatial and Graph in Apache HBase environments.
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Provides Javadoc-generated information about interfaces and classes that support the In-Memory Analyst feature available with Big Data Spatial and Graph.
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Provides Javadoc-generated information about interfaces and classes that support vector analysis features available with Big Data Spatial and Graph.
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Provides Javadoc-generated information about interfaces and classes that support raster analysis features available with Big Data Spatial and Graph.
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Provides Javadoc-generated information about interfaces and classes that support multimedia analytics features available with Big Data Spatial and Graph.
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Related Software Libraries
Describes how to install and configure Big Data SQL on supported Hadoop systems and Oracle Database servers.
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Documentation media library for Oracle R Enterprise.
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The Oracle Enterprise Manager family of products provides comprehensive solutions for testing, deploying, operating, monitoring, diagnosing, and resolving problems in today’s complex IT environments. This library provides you with access to the latest Oracle Enterprise Manager documentation.
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Related Hardware Libraries
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Learning Resources
A series of "how to" sessions on OHSH and the Big Data Connectors that underlie OHSH.
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Short walkthoughs of key Oracle Big Data SQL features.
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Learn about all of Oracle's Big Data products and solutions.
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Learn about Oracle Big Data, Data Science, Learning Analytics, Oracle NoSQL Database, and more!
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Learn to use Oracle's Integrated Big Data Solution to acquire, process, integrate and analyze big data.
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