The goal of Gen2 - beyond ensuring the expected performance improvements - was to make Azure Data Lake Storage (ADLS) more compatible with the Apache ecosystem. Now, because ADLS is built on top of ...

Azure Data Lake and Stream Analytics Tools for Visual Studio (version 2.4), which is a plugin for local U-SQL and Azure Data Lake development. Once you install this, relevant Azure Data Lake Analytics ...

Dremio and its eponymous platform have always been focused on high-performance data virtualization. Such platforms are centralized brokers that connect to and query multiple data sources on a user's ...

Okera, which offers a centralized security, governance and access solution for data lakes and data warehouses, has announced support for data lakes on the Microsoft Azure cloud. While Amazon Web ...

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 ...

Microsoft today introduced the launch of Azure Data Lake Analytics, a new cloud-based service for running queries on big data stored in the Microsoft’s growing public cloud. It uses a new ...

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 ...

Microsoft Corp. is adding to the data management capabilities of its Azure cloud with the launch today of two new services into general availability. Company officials said in a series of blog posts ...

Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...

Innovation on Teradata’s cloud-native platform makes deployments easier and more flexible, with end-to-end support for enterprise-scale AI/ML, including generative AI ClearScape Analytics, the ...

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 ...