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 ...

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 ...

Azure Data Lake Store sports the Microsoft-devised U-SQL query language, which allows a mixture of conventional SQL and C# programming metaphors When Azure Data Lake was first revealed, it was plain ...

Nowadays, organizations need to migrate and move data from the Oracle database to various data lakes, such as Microsoft Fabric and Snowflake. These data lakes are used in data analytics and by data ...

Microsoft Corp.’s Azure cloud is getting boosted with an array of data-focused updates, with expanded capabilities for its Intelligent Data Platform and new functions in its main database offerings ...

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 ...

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 ...

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 ...

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 ...

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