Do you know the difference of Power Pivot, Power Query and Power BI?
Almost every organization focuses on numbers, be it the profit, revenue, database or others. It all comes in form of numbers and numbers can be very messy if handled manually. Therefore, there are many technology companies out there that offers a variety of software and services in order to help organization easily identify the problems, solutions and the next step. Companies like Microsoft, Oracle, Red Hat and more, have been in the market to provide IT Technologies to organizations.
Microsoft in particular, offers a ton of software and services to organization from automation to database and more. A few examples of other products are Power BI, Power Pivot, Power Query and more. So, what actually is the difference among these tools?
POWER PIVOT is part of Microsoft Excel feature, simply an add-in that is able to perform a powerful data analysis and create data models. The Power Pivot is mainly used to take data from multiple source and combine it into a single data model which can be use or re-use in Pivot Tables.
POWER QUERY is the Microsoft Data Connectivity and Data Preparation technology whereby it helps business to effortlessly access all the data stored in various data sources. It also helps to reshape the data to fit business’ needs. A wide range of data sources that are supported by Power Query such as databases, Microsoft Azure services, Excel and other third-party online services. Not limited to these, a Custom Connectors SDK is available in Power Query to allow third-party to create their own data connectors and plug them into Power Query.
POWER BI is a combination of software services, apps and connectors that turn unrelated sources of data into a dashboard that create insights for users. Power BI consists of a Windows desktop application called Power BI Desktop, Power BI mobile apps, an online service called Power BI Service and lastly Power BI Report Server. With all these services, you will be able to compile data from various sources, create insights from the data, publish Power BI to an on-premise report server and more.
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