Lakehouse is a unique architecture that incorporates the best features of a Data Lake repository, which is used to store unstructured and semi-structured data, and data warehouses, which are used to store structured tables used to create reports. That is, you can store all this data in one place and access it via PySpark or SQL language…
Dataflow is a tool that has been around in the Power BI service for a very long time , and is used to import, transform, and load data into a semantic model (ETL). Practically, it is Power Query in a cloud environment. With the advent of Microsoft Fabric, Dataflow Gen2 was introduced , which is much more advanced compared to the previous version and enables faster work with large amounts of data, as well as their parallel processing.
Microsoft Fabric represents an end-to-end analytical solution that combines Power BI, as a reporting platform, Data Factory, as a data integration service, as well as Microsoft Synapse Data Engineering, Data Warehousing, Data Science and Real Time Analytics. It is designed as a software as a service solution, and the data is stored within the OneLake repository, which enables the storage of structured and unstructured data…
Dataflows are a feature within Power BI which is used to connect and transform data to utilize them as datasets when designing reports. It is a good way to create reusable datasets that are refreshed each time when a change occurs. They can be used by different users within a company to create reports not only in Power BI, but also in other Power Platform services.
Power Query allows you, whether you use Excel or Power BI, to connect to numerous data sources, retrieve, transform, and use “refined” data to create reports. On that occasion, each step in the transformation process is recorded and, when you refresh the link to the source, the steps are repeated in the given order and you get tables of identical structure. What is a purpose of Dataflows?