Combining Real-time and Past Data for Stronger Analytics

The demand for in-memory database systems that are capable of holding live transactional data and historical data together for real-time analytics is increasing at an enormous rate. An in-memory database approach that keeps live and historical data together delivers at least three solid advantages. First on the list is less work for IT pros. Without the need to constantly move operational data to data warehouses – typically with midnight batch loads that sometimes go wrong and need correction – you can free up your IT people to focus on higher-level activities. Second is speed. Transactional data is always available on demand, instantaneously, and is available for analytics just as quickly. Latency between when data is created and when it can be analyzed is almost nonexistent. This can accelerate decision-making dramatically. Third on the list is simplicity.

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