UPDATED 11:05 EDT / JULY 28 2023

INFRA

Tackling the elastic cloud consumption challenge with query engineering

Managing elastic cloud costs continue to be a challenge for enterprises based on heightened consumption.

By sitting in front of Snowflake Inc.’s data cloud, Sundeck tackles the consumption challenge by adding dynamic warehouse routing and management tools in an open and free manner, as evidenced by the new native app called OpsCenter for Snowflake, according to Jacques Nadeau (pictured), co-founder and chief executive officer of Qack Co. (dba Sundeck).

“We built a native app called OpsCenter for Snowflake, and this came out of primarily our own experiences with challenges around understanding consumption of these technologies, elastic compute technologies,” Nadeau said. “We built this application, we started by building stuff for our own purposes and then realized that every customer we talked to was struggling with the same kind of thing. We actually not only created the Opscenter project as a free project inside the marketplace, but we also made it available on GitHub.”

Nadue, spoke with industry analysts Lisa Martin and Dave Vellante at Snowflake Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Sundeck makes technology consumption seamless and is revolutionizing the query engineering sector. (* Disclosure below.)

How query engineering comes to play

Since query engineering involves the art and science of getting queries to work better for organizations, getting the best out of it is vital. Sundeck makes this a reality by ensuring that resources are used efficiently, as showcased by Snowflake.

“Trying to figure out how you can use, in the case of Snowflake warehouses more effectively, how you can use different kinds of patterns inside of Snowflake effectively,” he stated. “What people don’t necessarily initially realize is another thing that query engineering can do for them is that in organizations, especially data-driven organizations, you have larger and larger communities of users actually interacting with their data.”

With large language models and generative artificial intelligence going mainstream, huge queries have emerged. Sundeck sees this as an opportunity to ensure that the queries are more sophisticated so that users can be able to access the right information, Nadeau pointed out.

“It’s actually making the problem worse, is you’re making it easier for people to just generate really, really large queries that are going to be both inefficient and also, how do you know that the GenAI got this stuff, the patterns correct?” he asked. “It’s actually helpful for us. We think it’s very exciting.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Snowflake Summit:

(* Disclosure: Snowflake Inc. sponsored this segment of theCUBE. Neither Snowflake nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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