By using website you agree to our use of cookies as described in our cookie policy. Learn More


hortonworks white paper cover image

TDWI Checklist: Using Hadoop for Data Warehouse Optimization

January 1, 2018

You have a legacy system that no longer meets the demands of your current data needs, and replacing it isn’t an option. But don’t panic: Modernizing your traditional enterprise data warehouse is easier than you may think.

Traditional data warehouses are built on a costly model: with lengthy deployment cycles, time to value can delay your enterprise data warehouse’s time to value. But there is a way around this— by leveraging the power of Hadoop and open source technologies like Hive, you can exploit pools of commodity computing and storage resources, allowing your system performance to scale proportionally to demand while reducing overall costs.

Read the TDWI Checklist Report on Using Hadoop for Data Warehouse Optimization and learn how to:

  • Leverage Horizontal Scalability/Elasticity with Open Source Technologies to Reduce Costs
  • Augment enterprise data warehouse storage with Hadoop and Hive
  • Use Flexible Data Organization to Enable Schema on Read

Your e-mail address is used to communicate with you about your registration, related products and services, and offers from select vendors. Refer to our Privacy Policy for additional information.

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.