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How you can get the most value from the cloud with better data management

Access this Eckerson Group model to learn how you can assess your cloud data management maturity level and learn how you can achieve transformation in the cloud that allows your organization to become agile, extensible, scalable, secure, and much more within your cloud environments.

Informatica hopes to unclog your data pipelines with help from Nvidia in accelerating Spark-based ML operations

Any significant improvement in processing times will be a boon to productivity, say analysts Lindsay Clark Wed 17 Mar 2021 // 14:45 UTC Share Copy Informatica has announced a serverless, Spark-based data integration engine intended to accelerate data engineering for machine learning in the cloud using Nvidia GPU processors. Within the vendor s integration platform-as-a-service, CDI Elastic, microservices support different data management activities. The new capability is targeted at extract, transform, load-type (ETL) workloads. You may have data sitting in a data lake, and you want to do parallel processing of that data at high performance. That s what CDI Elastic services designed for, said Rik Tamm-Daniels, VP strategic ecosystems.

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