Big data analytics: Data warehouse vs Hadoop

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The traditional data warehouse is often not as cost-effective as Hadoop when it comes to data storage for big data analytics. But Hadoop isn’t a good fit for every business intelligence project—for instance, real-time analytics.

When looking at the big picture, Hadoop isn’t an effective replacement for your enterprise data warehouse. So how can you get the best of both worlds?

This expert e-guide explores how Hadoop and the data warehouse can complement each other on business intelligence projects to help you gain strategic insights.   

Vendor:
SAS
Posted:
Feb 8, 2021
Published:
Feb 24, 2016
Format:
PDF
Type:
eGuide
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