Databricks launches its first industry-specific lakehouse

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As cloud infrastructure projects become increasingly complex, there has been a tendency in the industry to launch pre-packaged solutions for specific workspaces. Today, well-funded data analytics firm Databricks is joining the fray with its first verticals-specific solution: Lakehouse for Retail. The promise here is to offer a fully integrated platform that can help retailers extract value from the vast amounts of data they generate, whether through traditional analytics or by leveraging Databricks’ AI tools.

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“This is a significant milestone in our journey to help organizations operate in real time, deliver more accurate analytics and leverage all of our customers. statistics To uncover valuable insights,” said Ali Ghodsi, CEO and co-founder of Databricks. “Lakehouse Will Be Powerful For Retail” statistics-Driven collaboration and sharing between businesses and partners in the retail industry. ,

Some of the early adopters for the platform include the likes of Walgreens, Columbia, and H&M Group. These users get access to the full Databricks platform, but also – and most importantly – a set of Lakehouse for Retail solutions accelerators that Databricks calls a “blueprint.” statistics Analytics and machine learning use cases and best practices” which could ideally save new users months of development time. These include real-time streaming data ingestion, demand forecasting, recommendation engines, and tools for measuring customer lifetime value. It is worth noting that Databricks previously offered similar blueprint, but customers had to assemble these for themselves instead of offering Databricks as part of an integrated solution.

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“With hundreds of millions of prescriptions processed by Walgreens each year, databricks‘ Lakehouse for Retail allows us to integrate all of these statistics And store it in one place for the full range of analytics and ML workloads,” said Luigi Guadagno, vice president, pharmacy and healthcare platform technology, Walgreens. “By eliminating the complex and costly legacy” statistics silos, we have created an intelligent, integrated . has enabled cross-domain collaboration with statistics The platform that allows us to customize, scale and better serve our customers and patients. ,

During the last few years, Databricks has been trying to popularize the concept of ‘Lakehouse’. Which combines the best data warehouse for analytics and data lake to store large amount of raw data which is yet to be commissioned.

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