Today, at the Microsoft Build conference ([ Ссылка ]), a new data product - Microsoft Fabric has been announced.
In the past, different Azure Services were needed to build data/analytics solutions - Azure Data Factory, Azure Data Lake storage, Azure SQL, Spark, Databricks, Azure Synapse Analytics...
Different services needed to be connected, configuration details to be solved, data duplicated between the services and cost estimations to be calculated.

With Fabric (according to Microsoft), data life got easier. One single tool covering all aspects of data work - Data integration, data engineering, data science, data warehousing, real-time analytics and business intelligence (Power BI).
In addition: one storage mechanisms - the OneLake - provides a virtual, globally spanning enterprise data lake.
Every Fabric workload uses the same storage format - the open-standard Delta/Parquet format - that means that data items produced by one of the workloads can be consumed by every other workload (even your data warehousing and Power BI workloads understands Delta now!!!). With the open standard Delta format, OneLake is also open for other analytic tools like Databricks.
Data Integration & Engineering span their wings from pro-development using Apache Spark to Data Factory pipelines or (PowerQuery) DataFlows for the low-code developer.
And in addition - licensing got easier because every workload is powered by Fabric capacities plus the costs for storage.

If you want to learn more about #MicrosoftFabric, hear about the main components, the motivation why I think that there is room for another data product, the different workloads and how #OneLake kicks in - Watch this video.

#Azure #PowerBI #MicrosoftFabric #Analytics #AzureData #DeltaFormat #datalake #datascience #MicrosoftBuild #MSBuild #MSBuild2023 #DataFactory #Spark #ApacheSpark #Pipelines #Dataflows #PowerQuery

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