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Oracle Proposed Solution Components for Analytics Capabilities
- 1. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Oracle Proprietary and Confidential Analytics Capabilities 4/18/2023 Oracle Proposed Solution Components SEMI- STRUCTURED DATA SOURCES Ops DATA Relational / OLAP BIG DATA Golden Gate (real-time - heterogeneous) Data Integrator (batch – heterogeneous) Direct SQL Interface (Big Data SQL / DB Links/ External Table) Data Integration Data Store Data Access BI Server Big Data Connector Data Mining Analytics Reporting Capabilities Reports Dashboards Data Services Web Service Application API BDA Exadata Staging Area As-is Source Data Structure Database EE Partitioning; RAC; Index; Smart Storage; HCC, In-memory; Analytics Communications Data Model (CDM) Data Model (3NF) Star-Schema; OLAP Cubes; Mining Models; Big Data Connectors Big Data SQL SQL Connector for HDFS Loader for Hadoop R Analytics ODI for Hadoop Existing systems Product/Technology Data flow (internal) Data flow between systems Legends OGG for Hadoop infiniband
Editor's Notes
- Big Data Connectors: Oracle SQL Connector for Hadoop Distributed File System (previously Oracle Direct Connector for HDFS): Enables an Oracle external table to access data stored in Hadoop Distributed File System (HDFS) files or a table in Apache Hive. The data can remain in HDFS or the Hive table, or it can be loaded into an Oracle database. Oracle SQL Connector for HDFS is a command-line utility that accepts generic command line arguments supported by the org.apache.hadoop.util.Tool interface. It also provides a preprocessor for Oracle external tables. Oracle Loader for Hadoop: Provides an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. Oracle Loader for Hadoop prepartitions the data if necessary and transforms it into a database-ready format. It optionally sorts records by primary key or user-defined columns before loading the data or creating output files. Oracle Loader for Hadoop is a MapReduce application that is invoked as a command-line utility. It accepts the generic command-line options that are supported by the org.apache.hadoop.util.Tool interface. Oracle Data Integrator Application Adapter for Hadoop: Extracts, transforms, and loads data from a Hadoop cluster into tables in an Oracle database, as defined using a graphical user interface. Oracle XQuery for Hadoop: Runs transformations expressed in the XQuery language by translating them into a series of MapReduce jobs, which are executed in parallel on the Hadoop cluster. The input data can be located in a file system accessible through the Hadoop File System API, such as the Hadoop Distributed File System (HDFS), or stored in Oracle NoSQL Database. Oracle XQuery for Hadoop can write the transformation results to HDFS, Oracle NoSQL Database, or Oracle Database. Oracle R Advanced Analytics for Hadoop: Provides an interface between a local R environment, Oracle Database, and Hadoop, allowing speed-of-thought, interactive analysis on all three platforms. Oracle R Advanced Analytics for Hadoop is designed to work independently, but if the enterprise data for your analysis is also stored in Oracle Database, then the full power of this connector is achieved when it is used with Oracle R Enterprise.