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Many organizations struggle with how best to query and analyze isolated and disparate data sets in combination. Traditional data warehouse solutions typically use an extract, transform, and load (ETL) process that copies data from one or more sources into a destination system. Unfortunately, this outdated technique is inefficient and keeps business analysts from running fast analytics on their data, potentially delaying critical insights.

So how can you enable your business to integrate and analyze diverse data sets, regardless of where they are located?

Read on to learn about a solution that can help you unlock business value by accessing and analyzing data from any data source at scale.

Red Hat & Starburst
Sep 23, 2023
Sep 23, 2023
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