A data lake is a centralized repository that allows companies to store all of its structured and unstructured data at any scale, whereas a data warehouse is a relational database designed for query ...

Gartner this week convened its annual Data and Analytics Summit Americas conference, which was held online again due to the coronavirus pandemic. From the role of AI in data management to avoiding ...

To gain insights, data must be transformed and moved out of the lake into an analytical database such as Splunk, MySQL, or Oracle, depending on the use case. This process is complex, slow, and costly.

ChaosSearch, a leading log analytics platform, today announced the release of Chaos LakeDB – the first data lake database designed to power generative artificial intelligence (AI), SQL, and Live ...

Learn why Apache Iceberg is the future of data lake management, offering structured, scalable, and reliable solutions for your organization.

Snowflake Snowflake provides a full service data lake solution that can integrate storage and computing solutions from AWS, Microsoft, or Google. Data managers do not need to know how to set up, ...

Part 5 of CRN’s 2023 Big Data 100 takes a look at the vendors solution providers should know in the data warehouse and data lake systems and services space.

Ingesting large volumes of data can yield a rich source of information, but not without risk. Use these tips to improve data quality as your data lake grows.

We look at cloud data lakes, what they are, where they fit in the data management lifecycle, their benefits and the key providers in the hyperscaler clouds ...

Fabric is both a nod to customers trying to tighten their belts and also to the multi-cloud database tools such as Snowflake and Databricks that threaten Microsoft's established database franchise.

Part 5 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data warehouse and data lake systems and services space.