Cybersecurity attacks have been increasing at an exponential rate. In 2018 alone, more than 2,000 data breaches were reported. The impact of these attacks has been calculated at more than $6 trillion.

Disclaimer: This is not formal legal advice, and my intent with this article is to generate awareness about growing data residency laws. As enterprises are building the cloud-scale data lake, the ...

At its Cloud Data Summit, Google today announced the preview launch of BigLake, a new data lake storage engine that makes it easier for enterprises to analyze the data in their data warehouses and ...

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 ...

Microsoft continues to bolster its Azure data services offerings for enterprise users with its announcement that Azure Data Lake Storage Gen2 and Azure Data Explorer are now generally available for ...

Going cloud for your storage needs comes with some baggage. On the one hand, it's cheap, elastic, and convenient - it just works. On the other hand, it's messy, especially if you are used to working ...

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 ...

The arrival of data lakes built on open-source technologies was met with the great expectation that they would help solve enterprises’ big data challenges. Companies were excited about an architecture ...

Dremio founder Tomer Shiran says the company’s new cloud-based data lakehouse offering will make on-premises and cloud data warehouse systems a technology of the past. Building on its core SQL query ...

Amazon Web Services Inc. said today that its newest service, AWS CloudTrail Lake, is now generally available. CloudTrail Lake is a managed audit and security lake for cloud customers that can be used ...

Data warehouses have proven to be great repositories for enormous amounts of critical information, but the process of preloading data into the necessary structure to run business analytics workloads ...