Today, data teams are being asked to do the impossible: provide fast and secure self-service analytics while managing the cost and complexity of data growth. The data Lake has emerged as the de-facto preference for data storage, but it still relies on other tools and existing structures. With today’s current data architecture, data still has to be transformed, copied, and moved - increasing complexities and costs while negatively impacting performance. Dremio’s data lake query engine enables you to query data directly on your data lake storage, eliminating the need to copy data while increasing performance.
In this webinar, you will learn:
• How Dremio enables lightning-fast queries directly on data lake storage, and how Dremio easily connects to BI and data science tools
• How Dremio provides user self-service via its semantic layer, making data more consumable, consistent, and secure
• How to easily connect Dremio to Dell Technologies data lake storage platforms
Co-speakers:
• Thomas Henson, UDS Sr. Business Development Manager for AI/Analytics, Dell Technologies
• Brett Roberts, Principal Partner Solutions Architect, Dremio