Google launches the Materialized Recommender

How to Query Time and Costs with the new Query Analyzer

Christianlauer
CodeX

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Photo by Alex Guillaume on Unsplash

For every Data Engineer and Scientist less query execution time while also cutting costs sounds awesome — this is what Google has now launched as an ready to use service in BigQuery.

Just a few weeks ago, Google has also launched a similar feature, called History based Optimization for Queries, also with the goal to optimize query execution:

Now, Google is also presenting the BigQuery materialized view recommender which analyzes your past query jobs to identify opportunities to apply materialized views to your queries for potential cost savings. You can view all available materialized view recommendations through the BigQuery UI or Recommender API[1].

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Christianlauer
CodeX
Editor for

Big Data Enthusiast based in Hamburg and Kiel. Thankful if you would support my writing via: https://christianlauer90.medium.com/membership