Oracle 2014 Annual Report Download - page 13

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Table of Contents
Big Data
Oracle offers big data solutions to complement and extend its Oracle Database software offerings. Big data generally refers to a massive amount
of unstructured, streaming and structured data that is so large that it is difficult to process using traditional IT techniques. As businesses drive
more of their critical operations and information management through IT solutions, the volume of this data generated by businesses is increasing
at unprecedented levels.
We believe most businesses view big data as a high-value source of business intelligence that can be used to gain new insights into customer
behavior, anticipate future demand more accurately, align workforce deployment with business activity forecasts and accelerate the pace of
operations, among others. Oracle offers a comprehensive portfolio of products and services to help enterprises capture, manage, and analyze big
data alongside an enterprise’s existing enterprise and streaming data.
Our big data solutions for capturing unstructured, streaming and structured data complement existing Oracle Database environments and include
Oracle NoSQL Database and popular open source software such as the Hadoop File System. Oracle Data Integration and Oracle Big Data
Connectors are designed to easily and non-invasively integrate data from Hadoop file systems or Oracle NoSQL databases and Oracle databases
to enable a data warehouse to further organize, analyze, interpret, report on and act on information from these high volume data sources.
We offer Oracle Business Analytics products that are designed to leverage big data and enterprise data to enable organizations to analyze the
data and discover new ways to strategize, plan, optimize business operations and capture new market opportunities. Oracle Business Analytics
products include data discovery software, enterprise performance management and analytic application software, business intelligence software,
and predictive analytics and self-learning decision optimization software. The Oracle Exalytics In-Memory Machine is designed to run analytic
environments at optimal performance and scale, which is ideal for use with big data environments.
Oracle Fusion Middleware
We license our Oracle Fusion Middleware software, which is a broad family of integrated application infrastructure software products. These
products are designed to form a reliable and scalable foundation on which customers can build, deploy, secure, access and integrate business
applications and automate their business processes. Built with our Java technology platform, Oracle Fusion Middleware products can be used as
a foundation for custom, packaged and composite applications—or applications that can be deployed in cloud environments.
Oracle Fusion Middleware software is designed to protect customers’ IT investments and work with both Oracle and non-Oracle database,
middleware and application software through its open architecture and adherence to industry standards. Specifically, Oracle Fusion Middleware
software is designed to enable customers to integrate Oracle and non-Oracle business applications, automate business processes, scale
applications to meet customer demand, simplify security and compliance, manage lifecycles of documents and get actionable, targeted business
intelligence; all while continuing to utilize their existing IT systems. In addition, Oracle Fusion Middleware software supports multiple
development languages and tools, which enables developers to build and deploy web services, websites, portals and web-based applications.
Oracle Fusion Middleware software is available in various software products and suites, including the following:
9
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Oracle WebLogic Server and Oracle Cloud Application Foundation, designed to be the most complete, best-of-breed platform for
developing cloud applications;
•
Oracle SOA Suite of software products used to create, deploy and manage applications on a Service
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Oriented Architecture;
•
Oracle Data Integration software products, which are designed to enable pervasive and continuous access to timely and trusted data
across heterogeneous systems, including real-time and bulk data movement, transformation, bi-directional replication, data services and
data quality for customer and product domains;