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November 2013

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Customers Enthusiastic for Oracle’s Big Data Platform

As interest in big data grows across industries, more and more organizations are looking for simple approaches to implementing big data environments—and they are looking to Oracle's engineered systems approach to big data to dramatically speed and simplify implementations while lowering total cost of ownership.

In fact, a wide range of customers have already embraced Oracle's engineered systems approach to big data, including

Oracle recently showcased its thought leadership and technical expertise at some of the industry’s most significant big data events, including the TDWI World Conferences and Strata + Hadoop World. Oracle shared its unique perspective on how best to combine the data-first and model-first worlds to improve business outcomes and provided an overview on how Oracle’s integrated solutions for Hadoop and big data help simplify big data analytics.

Engineered Systems Simplify Big Data Deployments and Lower Total Cost of Ownership
Building on its history of innovations and leadership in databases, data warehousing, and business intelligence, Oracle has pioneered an engineered systems approach that speeds time to market by delivering preinstalled, preconfigured, and pretuned solutions that are ready out of the box and simple to manage.

  • Oracle Big Data Appliance is Oracle's engineered system for acquiring, organizing, and loading unstructured data. Using industry-standard hardware, it provides Cloudera’s Hadoop Distribution including Apache Hadoop, Oracle NoSQL Database, and Oracle R for analytics.
  • Oracle Exadata Database Machine is the ideal database platform for varied and unpredictable workloads. Oracle Exadata combines unique software optimizations, memory caching, and low-cost disks to deliver the performance and scalability necessary for big data analytics.
  • Oracle Exalytics In-Memory Machine is Oracle’s engineered system for high-performance analytics. It combines Oracle's best-in-class enterprise business intelligence platform, Oracle TimesTen In-Memory Database, and hardware—all optimized to work together.

Find out why leading organizations such as UPMC, SoftBank, Thomson Reuters, and StubHub are turning to Oracle to implement their big data environments.

Find out more about Oracle and big data.

Find out more about Oracle’s engineered systems.

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