Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that have been ...

In this podcast, we talk to Pure Storage about the challenges presented to data storage by the huge growth in unstructured data and the need to gain working insight from it. We speak with Amy Fowler, ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Information, without order, is chaotic. Attempting to work ...

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What you need to know about Google Cloud Next data announcements: BigLake support for Apache Iceberg, Hudi and Delta Lake; BigQuery adds unstructured data, Apache Spark and DataStream support; Looker ...

A small orchestra provided the opening prelude for Tuesday’s keynote session at Snowflake Inc.’s annual conference in San Francisco. When the music stopped and the lights went up, the conductor was ...

A new survey of 421 data managers and professionals affiliated with the Independent Oracle Users Group (IOUG) members finds that while most companies have well-established data warehouse systems, ...