4-phase strategy to migrate BI workloads to Hadoop

Efficiently Offloading and Optimizing BI Workloads to Hadoop

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Enterprises traditionally turn to data warehouses for analytics processing. But those have limitations related to cost-effective scalability, data flexibility, and accessibility.

Many organizations try to overcome these challenges and extend the value of their data warehouses by combining them with Hadoop, which provides scalability, flexibility and open architecture.

But you’ll need a strategy to safely migrate your business intelligence (BI) and big data workloads from your data warehouses to Hadoop. Learn how to create one around these 4 phases:

  • Evaluate the use cases and objectives
  • Establish a prioritized project plan
  • Upload the right workloads
  • Optimize the offloaded BI workloads for performance
Vendor:
Cloudera
Posted:
07 Feb 2018
Published:
31 Dec 2017
Format:
PDF
Length:
9 Page(s)
Type:
White Paper
Language:
English
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