Titlebook: Beginning Microsoft Power BI; A Practical Guide to Dan Clark Book 2020Latest edition Dan Clark 2020 Power BI.Microsoft Power BI.DAX.Self se

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Advanced Topics in Power BI Data Modeling,This chapter covers some advanced topics in Power BI data modeling that I think you may find useful. These are important for analyzing data over very large data sets. It includes direct queries, aggregation tables, and dataflow.

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Advanced Topics in Power Query,es using just the visual interface, there is a lot of useful processing that you can only complete by writing M code. This chapter goes beyond the basics and explores some of the advanced functionality in Power Query, including the M query language, parameters, and functions.

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ICTs and the Millennium Development Goals both Power BI Desktop and Excel (2010 and later) and forms the foundation on top of which you will build your analytical reports and dashboards. This chapter provides you with some background information on why Power BI is such an important tool and what makes it perform so well. The chapter also p

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Li-Jen Shannon,Yaprak Dalat Wardou need to import the data into the data warehouse and then load it into the cube. It can take quite a while to get the data incorporated into the cube and available for your consumption. This is one of the greatest strengths of the Power BI model. You can easily and quickly combine data from a vari

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Habib M. Fardoun,Daniyal M. Alghazzawi model. This is where Power Query really shines and is a very useful part of your BI arsenal. Power Query provides an easy-to-use interface for discovering and transforming data. It contains tools to clean and shape data such as removing duplicates, replacing values, and grouping data. In addition,

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https://doi.org/10.1007/978-3-319-69694-2 with data in Power BI. A good model will make Power BI perform amazingly fast and allow you to analyze the data in new and interesting ways. A bad model will cause Power BI to perform very slowly and at worst give misleading results when performing the data analysis. This chapter guides you through

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https://doi.org/10.1007/978-3-319-69694-2ur exploration of the data. For example, you may have to translate code values into meaningful descriptions or parse out a string to obtain key information. This is where Data Analysis Expressions (DAX) comes into play. This chapter introduces you to DAX and shows you how to use DAX to create calcul