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 ...

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

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, ...

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 ...

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AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

A data lake is a set of unstructured information that you assemble for analysis. Deciding which information to put in the lake, how to store it, and what to make of it are the hard parts. The concept ...

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, ...