Cost-Benefit, Experimentation and OLAP

Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto’s cost-based query optimizer, dynamic filtering and extensibility through user-defined functions make it a versatile tool in Uber’s analytics arsenal. The cost and constraints of traditional analytics soon reached their limit, forcing Uber to look elsewhere for a solution.

OLAP

OLAP Data Lake Data-driven Snapshot

Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

JULY 2, 2019

Moreover, they can be replaced with machine learning models to improve performance dramatically: “We have demonstrated that machine learned models have the potential to provide significant benefits over state-of-the-art indexes, and we believe this is a fruitful direction for future research.” That represents runtime overhead.

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Metadata Machine Learning Data Science Data-driven

Data Leaders Brief

Unleashing the power of Presto: The Uber case study

Themes and Conferences per Pacoid, Episode 11

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