Oracle Analytics: Business Intelligence and Analytic Applications - The CIO's Guide to Oracle Products and Solutions - page 73

• Oracle Data Integrator with Application Adapter for Hadoop
• Oracle Loader for Hadoop (OLH) enables users to use Hadoop
MapReduce processing to create enhanced data sets for efficient
loading and analysis in the Oracle Database. The difference between
this loader and others is that it generates Oracle internal formats to
load data faster and use less database system resources.
• Oracle R Enterprise tool is the combining of the open-source dis-
tribution of R, a programming language and software environment
for statistical computing and publication-quality graphics with the
Oracle Database. Oracle R Enterprise uses the approach that the
models will run in-database and process large data sets, using the
Oracle Database and Exadata.
• Oracle Linux is an enterprise-class Linux distribution supported
by Oracle.
• Oracle Java Hotspot Virtual Machine is a core component of
the Java SE platform. It implements the Java Virtual Machine
Specification, and is delivered as a shared library in the Java
Runtime Environment.
A simplistic view is an organization would use the Oracle Big Data
Appliance (Hadoop and NSQL) to capture the data, then use Big Data
Connectors to a data warehouse where they can use Oracle Enterprise R or
any other data-mining techniques to analyze the data further.
A visualization created by IBM of Wikipedia edits can be seen in
Figure 2.7. At multiple terabytes in size, the text and images of Wikipedia
are a classic example of big data.
There are some subtle differences between big data and BI:
• BI uses descriptive statistics with data with high information density
to measure things, detect trends, etc.
• Big data uses inductive statistics and concepts from nonlinear system
identification to infer laws (regressions, nonlinear relationships, and
causal effects) from large data sets to reveal relationships and depen-
dencies and to perform predictions of outcomes and behaviors. Most
industries are now using big data software and hardware for various
purposes, most interestingly scientists searching for extraterrestrial
life.