Dremio - Escaping the Data Copy Pyramid of Doom
Common Sense Virtual Roundtable:

Escaping the Data Copy Pyramid of Doom

March 10th, 2022, 10 AM – 11 AM CT, Successfully held

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Presented by

Dremio

Here’s what we discussed:

How can organizations store and access petabytes of data in their data lakes without making multiple copies of that data? What is the true price of all those copies?

Most organizations rely on complex and brittle ETL data pipelines that copy data from data lake storage to data warehouses. Searching for more data and faster performance, BI analysts make local copies of data for their own needs. All those copies pose challenges:

  • Slower time to insight
  • Security and compliance risks
  • Management overhead

The result is a data architecture “Pyramid of Doom,” where each layer of the data stack creates more complexity, backlog, and expense. It doesn’t have to be that way. A modern data lakehouse uses a no-copy data architecture, delivering faster performance at lower cost. Join us for a 60-minute, expert-led discussion and learn how to escape the Data Copy Pyramid of Doom!

Solution Expert

Brock Griffey
Senior Solutions 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.

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