“Enterprises need a data lake solution that consolidates large volumes of data from disparate sources," ESG analyst Jon Brown said. Cribl launched a new data lake as an alternative to traditional data ...

Data lakes have emerged as a pivotal solution for organisations seeking to harness vast, heterogeneous datasets. This strategy involves storing raw data in its native format in a centralised ...

Google Cloud has announced the preview of its data lake storage engine, BigLake, as part of its aim to remove all "limits of data" as well as break the barrier between data lakes and warehouses. As ...

CelerData, a unified analytics platform for the modern, real-time enterprise, is releasing the latest iteration of its enterprise analytics platform, CelerData Version 3, which continues to empower ...

The news and information specialist is using Snowflake technology to support its long-term data strategy, which also includes increased use of AI. As both a producer and consumer of vast amounts of ...

Many enterprises are moving towards use of data lakes to help in managing increasing amounts of information. Such large repositories allow organisations to gather and store structured and unstructured ...

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. Image: ...