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Looking to improve your data lake’s time to value with faster analytic performance? You’re not alone.
“Data and analytics leaders continue to struggle with getting value from data lake initiatives that have grown to be unwieldy or that cannot deliver adequate performance as they have evolved,” says Gartner. “For those data lakes that store some of their data in semistructured or structured and understood form, the accelerators provide a means of accessing the data in situ.”
Analytics query accelerators seek to shrink the analytic performance impact of the ‘zone of confusion’. Put another way, they are trying to move the line of ‘good enough’ to the point where the data lake can provide sufficient optimization on the data to make it suitable for an increasing percentage of workloads.”
Read the Gartner Market Guide for Analytics Query Accelerators to learn how:
- Gartner defines an analytics query accelerator
- Data and analytics leaders can improve the time to value of their data lake initiatives with technologies that provide SQL query support on a broad range of data sources
- Organizations should consider which analytic workloads can run in the data lake vs. moving them out to the data warehouse