In a recent TDWI survey, a surprising number of enterprise respondents (almost 50%!) reported they were planning to replace on-prem data warehouses with cloud data warehouses (CDWs). Our advice, and we cannot stress this enough, is, to learn from experts who have already done it many times.
CDW migrations are much, much easier said than done. In our hard-won experience, successful Data warehouse-to-cloud migrations are a juggling act of managing change within hybrid environments while also supporting the ongoing needs of multiple business units.
At the end of the day, CDWs must solve four modern enterprise class challenges:
Wavicle believes these challenges are best answered by 1) moving the heavy lifting challenges out of the database; and 2) engaging the cost-performance capabilities of Spark. This approach enables enterprise data solutions that are more robust, scalable, and manageable. Spark’s in-memory architecture shifts processing to cores that are designed for these workloads and can be scaled massively to deliver optimal query performance while minimizing spend.
It is crucial that data pipelines are both reliable and manageable, so Wavicle developed pre-built toolkits and frameworks to accelerate delivery of the above Spark-based data pipelines. We work closely with partners such as Talend and Databricks to ensure that your enterprise data solutions are robust and future- proof. Easy!
