Cloud Data Warehouse

Rethinking Data Warehouse Modernization

Actian Corporation

July 30, 2019

Data Transformation

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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About Actian Corporation

Actian makes data easy. Our data platform simplifies how people connect, manage, and analyze data across cloud, hybrid, and on-premises environments. With decades of experience in data management and analytics, Actian delivers high-performance solutions that empower businesses to make data-driven decisions. Actian is recognized by leading analysts and has received industry awards for performance and innovation. Our teams share proven use cases at conferences (e.g., Strata Data) and contribute to open-source projects. On the Actian blog, we cover topics ranging from real-time data ingestion, data analytics, data governance, data management, data quality, data intelligence to AI-driven analytics.