Big Data Documentation
Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Oracle offers a broad and integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Learn how Oracle helps you acquire, organize, visualize, and transform your big data to gain valuable insights into your business.
An engineered system that provides a high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems, while integrating tightly with Oracle Database and Oracle Exadata Machine.
A suite of software that integrates Apache Hadoop with Oracle Database and Oracle Data Integrator. Organizations can use Apache Hadoop for data acquisition and initial processing, then link to enterprise data in Oracle Database for integrated analysis.
Advanced spatial analytic capabilities and graph database for Big Data platforms. A distributed property graph database with 35 parallel, in-memory analytics to analyze relationships in social media and other big data graphs. Spatial services to evaluate spatial relationships, enrich big data with real-world locations and boundaries, and process and visualize geospatial map data and imagery.
Enables the exchange and manipulation at the transaction level among multiple, heterogeneous platforms across your Big Data enterprise. It moves committed transactions with transaction integrity and minimal overhead on your existing infrastructure in real-time.