![]() ![]() The new data lakehouse’s features for streaming quality of service and toxicity detection for gaming are very case-specific services. To deliver accurate, high-confidence recommendations is no easy task, so accelerators can provide helpful starting points for enterprises,” Henschen said. They require specific data inputs, models, algorithms and they deliver very specific recommendations. “The most effective recommendation engines are very specific to industries and use cases. The idea of the industry-specific version of the Lakehouse is to get customers in specific industries, say, 90% of the way toward productive use of their data,” Henschen said. “You can think that the general-purpose version of the Databricks Lakehouse as giving the organization 80% of what it needs to get to the productive use of its data to drive business insights and data science specific to the business. “The idea of these so-called accelerators is to provide pre-built analyses and use-case functionality to ultimately speed deployment and time to value for customers,” said Doug Henschen, principal analyst at Constellation Research. ![]() Now generally available, the M&E data lakehouse comes with industry use-case specific features that the company calls accelerators, including real-time personalization, said Steve Sobel, the company’s global head of communications, in a blog post. After launching industry-specific data lakehouses for the retail, financial services and healthcare sectors over the past three months, Databricks is releasing a solution targeting the media and the entertainment (M&E) sector. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |