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Pro DAX and Data Modeling in Power BI - Creating the Perfect Semantic Layer to Drive Your Dashboard Analytics (Paperback, 1st ed.)
Loot Price: R1,954
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Pro DAX and Data Modeling in Power BI - Creating the Perfect Semantic Layer to Drive Your Dashboard Analytics (Paperback, 1st ed.)
Expected to ship within 10 - 15 working days
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Develop powerful data models that bind data from disparate sources
into a coherent whole. Then extend your data models using DAX-the
query language that underpins Power BI-to create reusable measures
to deliver finely-crafted custom calculations in your dashboards.
This book starts off teaching you how to define and enhance the
core structures of your data model to make it a true semantic layer
that transforms complex data into familiar business terms. You'll
learn how to create calculated columns to solve basic analytical
challenges. Then you'll move up to mastering DAX measures to finely
slice and dice your data. The book also shows how to handle
temporal analysis in Power BI using a Date dimension. You will see
how DAX Time Intelligence functions can simplify your analysis of
data over time. Finally, the book shows how to extend DAX to filter
and calculate datasets and develop DAX table functions and
variables to handle complex queries. What You Will Learn Create
clear and efficient data models that support in-depth analytics
Define core attributes such as data types and standardized
formatting consistently throughout a data model Define
cross-filtering settings to enhance the data model Make use of DAX
to create calculated columns and custom tables Extend your data
model with custom calculations and reusable measures using DAX
Perform time-based analysis using a Date dimension and Time
Intelligence functions Who This Book Is For Everyone from the CEO
to the Business Intelligence developer and from BI and Data
architects and analysts to power users and IT managers can use this
book to outshine the competition and create the data framework that
they need and interactive dashboards using Power BI
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