Dremio - What is an SQL Lakehouse and Why Would You Need One?
Common Sense Virtual Roundtable:

What is an SQL Lakehouse Platform and Why Would You Need One?

November 10th, 2021, Successfully held

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Presented by

Dremio

Here’s what we discussed:

A SQL lakehouse platform brings together the best of both the data warehouse and the data lake, and removes the limitations of traditional data warehouses and closed data architectures.

In this virtual roundtable session, we discussed how this is achievable and get answers to the following questions:

  • Why do you need an SQL lakehouse platform?
  • Can it meet your latency and throughput requirements?
  • Will it improve the efficiency of overburdened data engineers?
  • Does it support data portability with open APIs, data formats, and source code?
  • Perhaps most importantly, can enterprise teams govern data consumption on the SQL lakehouse platform?

The session was moderated by Scott Gay from Dremio.

Solution Expert 

Scott Gay
Solution Architect at Dremio
LinkedIn

Request detailed session notes

We are careful about who we send this key document to. The session notes will be sent based on the request, provided your profile matches our qualification criteria.

About Dremio:

Dremio is a high-performance SQL (data) lakehouse platform built on an open data architecture that helps to accelerate BI and Analytics directly on cloud data lake storage. Created by veterans of open source and big data technologies, and the creators of Apache Arrow, Dremio is a fundamentally new approach to data analytics that helps companies get more value from their data, faster. Dremio makes data engineering teams more productive, and data consumers more self-sufficient.

Participation in the Virtual Roundtable is free of charge to qualified attendees. Once you’ve completed the registration, we’ll confirm your invitation and send you a calendar invite with a link to the meeting.

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