Artwork_June 1 - Dremio - What is an SQL Lakehouse Platform and Why Would You Need One
Common Sense Virtual Roundtable:

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

July 21st, 2022, 10 AM – 11 AM CT, Successfully held

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Presented by

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 with our peers, we discussed how this is achievable and get answers to the following questions:
  • Why do you need a SQL lakehouse?
  • 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?

Solution Expert

Brock Griffey
Senior Solutions Architect at Dremio
LinkedIn

Here is what we learned:

David Querusio, Chief Technology Officer, Point32Health

• David joined the session to learn what his company will need to build its own next-generation ecosystem.
• As 2 companies came together, they had separate infrastructures. Point32Health is putting a new strategy together for its data. They are in the process of looking at tools, including a lakehouse.
• They are using Asure to move data to the datalake.
• When working with vendors, ask what do you need and how fast do you need access to it, and for what purpose? If you can get access to it quickly and formatted without a datalake, then is a datalake really needed?
• Right now they’re using a data warehouse, with BI layered on top of it.
• The alure of snowflake is the ease of use, but the more you are dependent on it, the cost can go up 10-fold and you have to explain the cost-value now.

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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