Microsoft Fabric takes on the enterprise analytics patchwork

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Microsoft Fabric takes on the enterprise analytics patchwork
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Microsoft Fabric promises to tear into the enterprise analytics patchwork

, allowing users to bring analytics to the data rather than expend the money and effort moving data into a specific repository.

But Microsoft went with Delta owing to market demand, Arun Ulag, corporate vice president of Azure Data, told"If you bring data into the data warehouse, it's putting data in its own proprietary format, which from a customer perspective is not great because they feel locked-in: each time they touch their own data, they have to pay somebody to be able to do that. So, in Fabric that goes away.

"We have introduced in Fabric our native format, by default is Delta and Parquet," he said."It is a big deal because it's not an external table. It's not something that, if the data exists, you link to Fabric. You build a data warehouse and by default, the data is in Delta-Parquet. That's a huge step forward because we've had to do a lot of performance optimizations to make sure that the kind of performance we can deliver on Delta Parquet is industry-leading.

Microsoft Fabric uses a virtualized data lake called OneLake, which is built on the existing Azure Data Lake Storage Gen 2 but adds shortcuts to data in AWS S3 and, soon, Google Storage. There are seven core workloads in Microsoft Fabric: Data Factory , Synapse Data Engineering , Synapse Data Science , Synapse Data Warehousing, Synapse Real Time Analytics, Power BI, and Data Activator .

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