The Data Analysis Expressions – DAX is a powerful and versatile formula language used in business intelligence tools such as Power BI, Excel, Power Pivot, and SQL Server Analysis Services (SSAS) Tabular. It plays a pivotal role in creating dynamic visualizations, leading to insightful data analysis. Mastering DAX is essential for getting the most value out of these tools, it empowers analysts towards data-driven decision-making.
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10 Important SQL Database Concepts
SQL is a crucial skill for programmers and developers alike in today’s world. It has been widely adopted as the standard language for communicating with data stored in relational databases, based on the relational model that implements SQL.
Microsoft Power BI is a tool for data analytics. The most evident advantage of using Power BI is its ability to access data from multiple sources.
Microsoft Excel is the most widely used data source in Power BI. Users may retain their data on-site/on-premises or in the cloud services (OneDrive, SharePoint, or Google Drive).
In today’s fast-paced business world, data is a crucial asset. Every organisation generates large volumes of data daily. Effectively utilizing data involves transforming it into meaningful and actionable information. This is where Business Intelligence (BI) becomes important.
Excel has been by far the most widely used tool for managing and analysing data for several years. It is popular, simple to understand, and flexible for various applications. However, as a business grows and its data requirements evolve, Excel users face constraints in terms of scalability and functionality. That’s where Microsoft’s Power BI comes in. It is a robust data processing tool that allows users to solve more complex tasks without much effort.