Remove Online Analytical Processing Remove Snapshot Remove Testing
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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

If the exploratory work needs to move on to testing and production, they can plan appropriately. For traditional analytics, they are bringing data discipline to their use of Presto. They ingest data in snapshots from operational systems. This way, the queries run much faster. It lands as raw data in HDFS.

OLAP 86
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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

Thorough testing and performance optimization will facilitate a smooth transition with minimal disruption to end-users, fostering exceptional user experiences and satisfaction. Depending on each migration wave and what is being done in the wave (development, testing, or performance tuning), the right people will be engaged.