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

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.

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

Here is what we learned:

Pratiksha Nirmale, Manager, Business Intelligence & Data Engineering, Voyager

• Voyager is working on a vision plan to integrate all its data into a lake. Presently they are multi-cloud with data in several locations. They also employ AWS, Big Query, Snowflake and Five Grand.
• The hope is to create a central point for customers and business users can have a consistent end-to-end look at the data picture. She hopes this consolidation will relieve pressure on the silos and deliver a better data picture.

Jonathan Andrews, Senior Director, IT Information Governance, Charter Communications.

• The company’s modus operandi had been to grant data access by duplication, but over the last three years, Charter has initiated a data governance program to consolidate and eliminate as much redundancy as possible. The goal is not to provide tailor-driven answers to queries.
• Depending on the questions being asked, they are working to provide it in ways that best serve the end-user, whether it’s relational databases or graphs.

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.

If you don’t qualify, we’ll suggest other learning events that may be a better fit for you.

Here’s what attendees at past events have said:

Other active events

Talk To Us About Attending Future Events











    This site is protected by Invisible reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

    Menu
    Pypestream Generated $1.8 million in Sales Pipeline
    Download this case study to learn how hosting branded events built their sales pipeline.
    DOWNLOAD
    I would like to receive important updates from Common Sense