Dremio Bridges the Gap Between Data Engineers and Data Consumers

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According to a new press release, “Dremio, the Data-as-a-Service Platform company, announced today a major release of its open source platform that includes a collaborative data catalog; along with new controls for multi-tenant deployments, end-to-end data encryption, and a breakthrough in performance and efficiency through the Gandiva Initiative for Apache Arrow. These new features support data initiatives by providing shorter lead times, lower operational costs, greater security and governance, and more self-service to a broader range of roles. ‘Everything-as-a-Service has been embraced by IT for the past five years – encompassing infrastructure, platforms and applications,’ said Kelly Stirman, vice president strategy and CMO, Dremio. ‘Today, we are providing these same benefits to our customers for their data initiatives, by offering tools for data engineers to be more productive, and for data consumers to be more self-sufficient’.”

The release goes on, “Dremio’s open source Data-as-a-Service Platform helps analysts and data scientists work together to discover, curate and collaborate for diverse analytical use cases. It builds on Apache Arrow to accelerate queries on a range of data sources, from S3, ADLS, and HDFS to NoSQL and relational databases. Dremio 3.0 includes advanced features for demanding enterprise workloads, including extensive security controls, data lineage, advanced data acceleration features, a new elastic deployment model, and connectors for popular data sources. Dremio solves the challenge of making data fast and self-service for data consumers, eliminating the creation, management, and governance risk associated with unnecessary data copies.”

Read more at Business Wire.

Image used under license from Shutterstock.com

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