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As companies collect more and more data, it is becoming difficult for them to transform that data into actionable insight without outside help.

Ibotta was one such company that struggled with making a large volume of data useable by their in-house data scientists: for example, since March of 2017, Ibotta’s data has grown by over 70x, to nearly 1PB, with over 20 TB of new data coming in daily.

Read on to learn how Ibotta partnered with Qubole to build a scalable data lake that was right for their organization and allowed them to continue to build self-service analytics and improve their business intelligence.

Vendor:

Qubole

Posted:

Feb 8, 2021

Published:

Mar 9, 2020

Format:

HTML

Type:

Case Study