A Guide to Modernizing Legacy Data Analytics Technology

Exploring Common Issues Companies Face Adopting Modern Offerings and How to Address Them

Although many companies are ready to modernize their legacy data analytics technology, there are still many issues that plague businesses from adopting modern offerings. This guide explores each of these issues, as well as how to address them.

Embracing change is part of life—and also, for successful companies. Over the years, companies have continued to use many data analytics tools as a strategy to gain a competitive advantage in the marketplace. Recently, technologies such as Hadoop, NOSQL, Amazon Redshift, and Azure Synapse (as well as many others) have been released for businesses to use to improve their overall data analytics strategy outlook.

Although many companies are ready to migrate to these analytics tools, there are still many issues that plague businesses from adopting these modern offerings. This guide explores common issues companies face, how to address them to be ready to migrate to a new modern data analytics platform, and the main drivers in modernizing.

Authored By

Jeff Levy

Senior Engineering Consultant

How can this guide help you?

  • Understand common issues companies face adopting modern data analytics technology
  • Know how to address these issues to be ready to migrate to a new platform
  • Main drivers to modernize
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A Guide to Modernizing Legacy Data Analytics Technology

Exploring Common Issues Companies Face Adopting Modern Offerings and How to Address Them

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