“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. These essentially adopt the Databricks Lakehouse architecture construct and platform to deliver end-to-end data and AI/ML capabilities in a holistic way. 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.įinally, 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. Suppliers can also collaborate with retailers on joint analytics, even across different cloud platforms. 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. Qlik Expands Partnership with DataBricks With Support for Delta Lake
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