Databricks Launches Lakehouse for Retail
- By DSAITrends editors
- January 18, 2022
Databricks has announced its first industry-specific offering: Databricks Lakehouse for Retail. Designed for retailers and consumer goods customers, it counts early adopters such as Walgreens, Columbia, and H&M Group as users, among others.
Databricks Lakehouse for Retail
Databricks Lakehouse for Retail was designed to jumpstart the analytics process, enabling data teams with a centralized data and AI platform that is tailored to help solve the most critical data challenges.
The new retail lakehouse is based on open source and open standards and allows retailers to share data such as inventory levels and sales data with partners and suppliers, says Rob Saker, the retail and manufacturing lead at Databricks in a VentureBeat report.
Suppliers can also collaborate with retailers on joint analytics, even across different cloud platforms.
In addition, new Lakehouse for Retail solution accelerators offer a blueprint of data analytics and machine learning use cases and best practices to save weeks or months of development time for an organization's data engineers and data scientists.
Finally, enterprises that sign up for the new offering will also get access to pre-built analytics solutions that address real-time customer use cases from partners like Deloitte and Tredence. These essentially adopt the Databricks Lakehouse architecture construct and platform to deliver end-to-end data and AI/ML capabilities in a holistic way.
“With Databricks, Tredence expects to meet the explosive enterprise demand for AI/ML and help navigate complex data ecosystems, monetize enterprise data, improve time to insights, and maximize ROI… with Lakehouse for Retail, we expect to jointly help enterprises effectively manage current growth barriers, future disruptions and drive global scale together,” a spokesperson from Tredence said.
“With hundreds of millions of prescriptions processed by Walgreens each year, Databricks' Lakehouse for Retail allows us to unify all of this data and store it in one place for a full range of analytics and ML workloads,” said Luigi Guadagno, vice president of pharmacy and healthcare platform technology at Walgreens.
“By eliminating complex and costly legacy data silos, we've enabled cross-domain collaboration with an intelligent, unified data platform that gives us the flexibility to adapt, scale and better serve our customers and patients,” said Guadagno.
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