Fannie Mae, Mercedes-Benz detail data lake platform uses


Substantial companies are utilizing details lake platforms additional and extra to provide details analytics and operational use apps.

At the Subsurface data lake virtual convention on March 2-3, massive businesses which include Fannie Mae and Mercedes-Benz outlined how they have moved to a info lake system architecture.

The occasion was sponsored by details lakehouse platform vendor Dremio, which unveiled a sequence of new technologies which include a query engine and a metadata store that use the open up resource Apache Iceberg technologies. Iceberg delivers a table format for information that is saved in a facts lake.

In a breakout session on March 2, executives from home loan funding business Fannie Mae outlined how they use Dremio and a modern day knowledge lake architecture. Fannie Mae is one of the major money institutions in the earth, controlling over $4 trillion in assets, with common reporting prerequisites to the Federal Housing Finance Company.

“We were being searching for means to enrich and enhance our info flows, not only in finance, but across the company as a entire,” said Jeffrey Palmer, vice president of finance transformation, data tactic and plan management at Fannie Mae. 

How Fannie Mae moved to a cloud info lake system

Fannie Mae pulls information from a lot of distinct sources, and a important challenge was producing guaranteed the data was exact and authoritative, Palmer explained.

As a strategic path, Fannie Mae executives determined they required a centralized cloud-centered architecture that provided information governance, details lineage and the skill to ability reports and analytics.

Screenshot of Mercedes Benz execs at the Subsurface virtual conference sponsored by data lake vendor Dremio.
Mercedes-Benz executives outlined how the carmaker is making use of Dremio’s details lake system to assist unify the firm’s cloud data efforts.

In the identical session, Kevin Bates, chief knowledge officer at Fannie Mae, explained transferring to the cloud facts lake system concentrated on moving all the knowledge resources, not just some of them, with a guiding basic principle of leaving no knowledge at the rear of.

We’re striving to convey [data] alongside one another into a a lot more exquisite mechanism that’s much easier for us to regulate and be accountable for.
Kevin BatesMain facts officer, Fannie Mae

Fannie Mae’s intention with the undertaking was to create an authoritative information source for operational insights, Bates claimed.

“We are seeking to bring [data] together into a extra elegant system that is easier for us to control and be accountable for,” he reported.

Dremio’s system is now playing a crucial job in the Fannie Mae cloud information architecture. The agency conducted what Palmer named an exhaustive research to identify the right engineering to supply a semantic information lake layer to organize and query details.

Palmer stated Fannie Mae selected Dremio to increase the agency’s cloud info abilities and to help get facts to where by it wanted to go.

He extra that the company has linked the Dremio deployment it takes advantage of to a number of enterprise intelligence equipment that the business also uses.

These include Tableau and MicroStrategy, which provide a self-assistance method for company people to entry details. He observed that in advance of Dremio, unique teams at Fannie Mae typically had to go data from just one place to a further in buy to execute calculations. That is no for a longer period the case.

“We have practically fully removed all of the guide motion of knowledge,” Palmer claimed.

Driving cloud knowledge ahead at Mercedes-Benz

Auto seller Mercedes Benz has also moved to a cloud information lake architecture and is working with Dremio to enable with its operations.

In a meeting session on March 2, Rodrigo Nunes, principal computer software engineer at Mercedes-Benz, explained a crucial aim for his staff with its cloud data system was to make it simpler for persons in to the organization to get superior insights from info.

Mercedes-Benz motor vehicles, like these from most automakers, have several sensors in them that are always amassing details.

All that info has opportunity gain and requires to be analyzed. The obstacle was that the exertion to effectively use of all the vehicle info was not unified within just Mercedes-Benz, as distinct teams ended up constructing their own information pipelines to permit analysis.

Nunes stated Mercedes-Benz made the decision to use Dremio to allow data lake functions in a unified strategy, offering a platform that is made use of as the foundation for facts that any group at the enterprise can use.

All through the breakout session, Tyler Axdorff, staff cloud engineer at Mercedes-Benz, described why the company chose Dremio.

“A single of the key features that Dremio presented us that other people didn’t was the ability to sign up for details across numerous cloud environments to be equipped to combine with our catalog,” Axdorff said. “So that was a big earn for us.”