Microsoft this week released Azure Data Lake as a generally available (GA), production-ready service, backed by Microsoft's 99.9 percent service-level agreement. Azure Data Lake is a service for "Big ...

There's a new buzzword on the loose, the "data lake." At first glance, a data lake could be easily mistaken for a data warehouse. The two big data concepts have a common focus on analytics and they ...

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 ...

The first generation of Azure SQL Data Warehouse (SQL DW) was announced in 2015, and SQL DW "Gen 2" reached general availability in 2018. Today, at its Ignite confab on Orlando, Microsoft is ...

As businesses continue to focus on leveraging Big Data, IT teams can prevent raw data from being siloed by gathering it into a central repository. Jennifer Zaino is a New York-based freelance writer ...

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 ...

Wealth management business Netwealth delivers investment and superannuation services to more than 80,000 members. With more than $34 billion of funds under management, the organisation knows the power ...

Roughly six months after its unveiling at the Ignite conference last fall, Microsoft took a group of analysts and MVP professionals on a deep dive into the Azure Synapse Analytics service. As noted in ...

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 ...

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 ...