| Today, most transactional data still resides inside relational database management systems, such as Oracle, where it supports various business-critical applications, from order entry to financials. But in order to maintain processing performance, most companies limit the amount of data stored in Oracle to time slices. This makes it suitable for recording committed transactions, but not ideal for in-depth exploratory analysis. |
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By moving your data from Oracle to Hadoop, companies can inexpensively store, access and analyze all of their data from multiyear economic cycles and obtain new business insights previously unavailable.
Join us for a special DBTA webcast on October 9th to learn about the key use cases, data replication strategies and methods for exploring data more efficiently through Hadoop. |