![]() This is the most critical part where we need to analyze what are the dimensions and fact tables for the Data warehouse. The Database of Adventure Works is uploaded, now we have that Structured Data, the main goal is to model that data into the warehouse, this is the most critical & important process. bak file, in my case I have uploaded to C drive inside the DW folder. ![]() ![]() After Clicking Add Give the path of the Adventure Works 2019 Full Backup.The Data Tools Should be Installed in Visual Studio 2019, the actual name is “SSDT” which is SQL SERVER Data Tools. These are some of the basic stuff which required to start the project or get into the Data Warehouse. For Implementing any sort of Warehouse, you need SQL SERVER 2019 Professional or Enterprise Edition, Visual Studio 2019 with Microsoft Analysis Services Extension of Visual Studio. We have downloaded the Full Data Warehouse Backup Version 2019. In the coming lectures we will also be dealing with unstructured data, for getting into the Data Warehouse we are just getting started with the Adventure Works Data Base. We need to convert it into the structure or format we want. The data can be in different formats either XML, JSON or Raw Data. The first step for diving into the data either for Data Analysis or Machine Learning the fundamental step is “Data Engineering”. Starting from the process of structuring data, we know that the Data will not always be in the structured format, a structured format is a myth. From Structure Data to Data Warehouse and Combining Power BI:
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