For Massive Analytics: Precompute or Virtualize?
Performing analytics directly from the data lake Minimizing ETL and skipping the data warehouse Assembling query results from back end systems as needed Precomputation focuses on query response time (faster queries) by: Precomputing query results and making them available in pre-aggregated tables Compute results once, serve many times - thereby reducing the number of queries Enabling fast response times for querying data in data lakes or data warehouses Both approaches have merit, and there may be good reasons to consider both depending on your requirements. Do you need to query faster? Or do...
Source: networkcomputing.com