The Databricks Data + AI Summit has provided an opportunity for tech practitioners to assess key trends and growth vectors in the industry. One benchmark offered during the event involved Delta Lake, the optimized storage layer for storing data and tables in the Databricks Lakehouse Platform.

As noted by theCUBE industry analyst Rob Strechay (pictured, left), Delta Lake has experienced significant growth based on numbers provided during the keynote remarks on the event’s second day.

“Over the last 10 years, it’s had the most contributors of any data centric open-source platform,” Strechay said. “They were talking about how there’s over 40,000 commits and how there’s over 3,600 contributors. That’s massive when you start to look at that community, bringing it together.”

Strechay spoke with theCUBE industry analyst John Furrier (right) during the day two keynote analysis at the Databricks Data + AI Summit, in an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed key themes from the event’s second day.

Re-architecting around data

Delta Lake’s growth highlights how data is moving from a cottage industry to a full-blown architectural enterprise. Companies are re-architecting around cloud scale with data, influenced by the rise of AI and large language modeling to drive business outcomes.

“Large language model engineering is a term we heard yesterday from some of these hot startups,” Furrier said. “What that means is data is going to be a completely different industry. It’s not about the database; it’s about the data corpus and some of the new techniques to get these LLM and foundation models built into applications.”

AI’s current popularity comes with a hint of caution. The analysts noted that Eric Schmidt, former CEO and chairman of Google LLC, told attendees that the AI hype cycle was influencing much of the current discussion within the tech world.

“AI washing is at an all-time high, and Eric Schmidt talked about that today, about how we’re really good at hype,” Strechay said. “The companies that are talking about AIOps the most have the least AI. You have to break down and be clear about who you are selling to and how you bring AI to that party.”

Here’s the complete video analysis, part of SiliconANGLE’s and theCUBE’s coverage of the Databricks Data + AI Summit:

Photo: SiliconANGLE