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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. Features focus on media and entertainment firms.
A data lake is a centralized repository that you can use to store all your structured and unstructureddata at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Following are some pros and cons of this method.
There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable dataarchitecture. Scalable dataarchitecture is not restricted to high storage space. UnstructuredData Management.
More power, more responsibility Blockbuster film and television studio Legendary Entertainment has a lot of intellectual property to protect, and it’s using AI agents, says Dan Meacham, the company’s CISO. “We “Also, software engineering is easier to verify, so you can have semi-supervised systems that can check each other’s work.
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