Rethinking Data Warehouse Modernization

Data warehouse modernization. Sounds like a no-brainer. Move your Netezza, Teradata or Exadata data warehouse that likely runs on obsolete, proprietary hardware to a shiny new system that runs in the cloud, costs a fraction of what you were paying before and can be turned on and off like a light switch.

Is it that easy? That simple? Let’s discuss…

Data warehouse modernization projects come in many flavors. Some are straightforward database upgrades or tweaks to data models. Others are more ambitious such as redesigning your company’s primary data platform. Modernization may involve incorporating previously untapped features, such as vectorized processing, real-time columnar in-memory analytics, in-database algorithms or SPARK-based AI/ML analytics. Further, today’s next-gen cloud data warehouses deliver unprecedented economics due to their elastic, pay-as-you-go consumption model. Increasingly, modernization may include all of the above in order to address new data sources such as social, mobile and IoT data.

You can read my full article here.

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