Common Sense Virtual Roundtable:

How to End Data Warehouse Vendor Lock-in Forever

May 24th, 2022, 10 AM – 11 AM PT, Successfully held

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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.

Solution Expert

Senior Solutions Architect at Dremio

Here is what we learned:

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

• Mahesh joined the session because cost is very much scrutinized, and the vendors keep pushing for more money.
• Their data set is much smaller than others on the call. They used to have data marts, but they are on a journey to move its data over to Snowflake.
• They have day-to-day reports that just need a base table, and they have a data warehouse for all their other data. Now the challenge is to distribute this data securely to its partners, and they are struggling with that.
• They are struggling to expose this data with Power PI, and to create a security layer around this. They want their customers to be able to pick and choose their own columns and formatting.
• His team seems to be moving to Snowflake. But it’s hard to leave all your investments.

Ruth Henderson, Director – IT Infrastructure, Goodman Manufacturing

• Ruth joined the session to get out of the vendor lock-in and to find out how to get un-stuck from certain AS400 technology.
• Ruth messaged Mitch to say she was dropping out of the discussion because it wasn’t relevant for her.

They started with voice prompts commands and used that data in a shared services aspect across departments. They as leveraging a common platform, but each group has different entry points.

A home service repair facilitator is leveraging Google Dialog flow to better understand its customers’ intent. It uses chatbots to cut down on agent handle time, and it enables customers to do self-serve and use the company’s digital channels. Their customer call types are in 4 buckets: customer service, sales, repair management claims, and follow-up calls. Going forward, sales calls and second calls for “first notice of loss” will be routed directly to a live agent.

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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