Retain Big Data and Extend Analytics Capabilities – Low Cost and Greater Insights.

The explosion in data volumes and the increasing diversity of new data types have added stress to traditional data warehouses and raised the cost of storing all data in the warehouse or OLAP environment for the business to continue running queries, reports and performing analytics.

When planning and building a data analytics environment or planning for capacity to meet future data growth, organizations are considering new technology approaches to retaining analytics data long term. Storing older data in the enterprise data warehouse (EDW) is not the most efficient and economically attractive answer.

Historical data that is less frequently accessed can be retained in RainStor on premise, in the cloud or leveraging open source Apache Hadoop Distributed File System (HDFS). Because of specialized data compression and reduction capabilities, organizations can reduce 2 petabytes of raw data down to ~100 terabytes, realizing significant savings from both storage and hardware investment.

If the business requires older data to run deeper analysis, subsets of data stored in RainStor can be re-instated to the core analytics environment in order to provide greater insights by having a broader data set to pull from.

Key benefits of offloading analytics data to RainStor include:

• Reduce burden on primary OLAP environment and avoid costly storage and hardware expenses
• Provide the business users with bigger and broader data sets which improve quality of analysis and business insights
• Retain data for analytics online and continue to run queries and meet compliance regulations.