Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Sep 02, 2025, 12:40pm EDT Sep 02, 2025, 12:42pm EDT The ...

Thomas Hazel, founder/CTO, ChaosSearch, examined the tools and technologies to get more value from data and how to determine which ones are right for your organization in a Data Summit 2022 keynote.

Ingesting large volumes of disparate data can yield a rich source of information — but it’s also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. For as long as ...

What is a data lake? A data lake is defined as a centralized and scalable storage repository that holds large volumes of raw big data from multiple sources and systems in its native format. To ...

Data lakes have become a critical solution for enterprises to store and analyze data. A cloud data lake solution offers a number of benefits that make it an ideal tool for managing and processing data ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

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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 ...

Databricks is open sourcing Delta Lake to counter criticism from rivals and take on Apache Iceberg as well as data warehouse products from Snowflake, Starburst, Dremio, Google Cloud, AWS, Oracle and ...

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