The flexibility of data lakes, combined with the variety and vast amount of their stored data, makes them ideal for advanced analytics.

Microsoft has announced that both Gen2 of Data Lake Storage and Azure Data Explorer are now generally available. Furthermore, a preview of Mapping Data Flow in Data Factory is also live.

Other clouds, in addition to Azure, offer similar combinations of high-scale databases, object stores and analytical platforms. While many providers, such as Oracle, offer both on-premises and cloud ...

Microsoft announces the general availability of Azure Data Explorer and Azure Data Lake Storage.

Data lakehouse architecture combines the best of cloud data lake and warehousing architectures to give teams the most recent data.

Microsoft updated its Visual Studio Code extension for working with the Azure Data Lake for Big Data analytics in the cloud, furthering integration of the extension's data exploration tool among other ...

Ignite 2019: Microsoft has revved its Azure SQL Data Warehouse, re-branding it Synapse Analytics, and integrating Apache Spark, Azure Data Lake Storage and Azure Data Factory, with a unified Web ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight.

Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.