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?

June 30th, 2022, 10 AM – 11 AM ET, Successfully held

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Presented by

Here’s what we discussed:

Data warehousing architectures and pricing models over the decades have been designed to lock you into the vendor. Organizations have had to depend on their data warehousing vendors not just for storing their data, but have also paid enormous amounts of money to retrieve their own data!

An open lakehouse platform is built on open-source software and open standards and does not force your organization to be locked into one vendor or another!

We discussed, how an open lakehouse platform frees your data and your organization from proprietary data warehouse vendors by:
  • Treating data as an independent tier – free from any single vendor
  • Allowing you to keep your data in your inexpensive cloud storage, without the need to create unnecessary data copies
  • Meeting all your business analytic requirements without vendor lock-in

The open lakehouse platform – with the open data formats and open standards – increases flexibility to choose best-of-breed analytics technologies, tools and engines for your business needs, improves time-to-insights and simplifies data governance and security.

This is so powerful: NO single vendor controls or owns your data!

Solution Expert

Louis Bedard
Director, Solutions Architect at Dremio
LinkedIn

Here is what we learned:

Dave Bhattacharjee, Head (Senior Vice President), Data Analytics, Thomson Reuters

• The top two challenges he faces involve the quality of data and the aggregation of data.
• His company has Snowflake as its data lake.
• Data movement is a challenge because there are many different systems. His company uses ELT (extract, load, transform) not ETL (extract, transform, load).

Farbod Sadaei, Director of Business Intelligence, Blick Art Materials

• His company has a large data warehouse and a lot of data governance, data cleansing processes and ETL processes in place, and they are working fine. The only problem is that the company handles a large amount of data received from sources outside the company and bringing that data in and processing it is not feasible because of hardware limitations and other issues. The company is exploring options to handle that, including Databricks, Glue and Data Fusion.
• His company is looking to expand its data lake.

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.

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