The Hidden Costs of Cloud Data Lakes

This blog series from Cazena's engineering team investigates the hidden costs of cloud data lakes. Learn the top three hidden costs of cloud data lakes!

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Cloud Data Warehousing Alternatives for ParAccel and Actian Matrix

Actian’s retreat from data warehousing forces ParAccel/Matrix owners to find a viable, supported platform for their workloads – but without the usual time or budget set aside for such a project because the announcement was a surprise and the timeline is so short (support ends April 30).

Cazena recently hosted a webinar for IT teams facing this sticky wicket featuring Paul Wolmering, Lead Solution Architecture at Cazena, and Lokesh Khosla, Principal at Magnus Data. Together they have over 30 years of experience with MPP architectures, 12 of them with ParAccel. They covered:

  • What should ParAccel/Matrix organizations consider when evaluating their options?
  • What are the pros and cons of each option? Staying on an unsupported platform vs. replacing it with another data warehouse platform, switching to Hadoop, or migrating workloads to the cloud.
  • How do cloud and on premises options stack up?
  • What are the benefits and challenges of moving data warehousing workloads to the cloud?

Lokesh reviewed case studies, such as an advanced marketing analytics company that reduced costs 80% by moving from Netezza to AWS and Hadoop. Then Paul described how Cazena’s Big Data as a Service simplifies the migration of data warehousing and big data processing to the cloud.

So while end-of-life for ParAccel/Matrix creates a short-term headache for many, fortunately cloud-based data warehousing provides a cost-effective alternative, agile enough to meet urgent timelines, and with equal or better performance.

If you missed it “live,” you can watch the webinar recording here. If offloading workloads from data warehousing platforms at the end of their life to the cloud sounds interesting to you, contact us for a free assessment to learn how best to get started.

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