Oracle’s newly released course, Oracle Big Data Fundamentals, is designed to enable you to understand:

How a variety of Big Data technologies work,

When such technologies should be used within the larger scope of a Big Data project and

How they may be used together to provide the highest ROI to the enterprise.

A five modules training course

This re-designed, 5-day course provides lessons grouped in five Modules. The course is designed to convey Oracle’s 3-phase strategy on how to work with, and leverage, Big Data as an Oracle customer. These phases include:

Data Acquisition and Storage (Phase 1)
Data Access and Processing (Phase 2)
Data Unification and Analysis (Phase 3)

Each of these phases includes coverage of Hadoop’s core and ecosystem technologies, and Oracle Big Data technologies / products. The three phases comprise the middle three of the five course modules.

Learning phases

First, you learn about how Oracle’s Information Management System incorporates a holistic approach to integrating Big Data (unstructured and semi-structured) with relational data (structured), in order to enable discovery of more value that is embedded inside the big data pool.

Then, the 3-phase design mentioned previously covers a combination of Big Data technologies – including Hadoop (core components and ecosystem), NoSQL and Oracle – within the context of how big data is acquired, processed, and analyzed.

Data Acquisition and Storage
– Introduction to HDFS (Hadoop Distributed File System)
– The CLI, FuseDFS, and Flume
– Oracle NoSQL Database (topics include using and administering)

Data Access and Processing
– Introduction to MapReduce
– YARN
– Apache Hive and Pig
– Cloudera Impala
– Oracle XQuery for Hadoop
– Solr
– Apache Spark

Data Unification and Analysis
– Apache Scoop
– Oracle Loader for Hadoop
– Copy to BDA (an Oracle technology)
– Oracle SQL Connector for Hadoop
– Oracle Data Integrator and Oracle GoldenGate
– Oracle Big Data SQL
– Oracle Advance Analytics (Oracle […]