Super Charge Power BI

Power BI Is Better When You Learn to Write DAX

Nonfiction, Computers, Application Software, Business Software, Database Management
Cover of the book Super Charge Power BI by Matt Allington, Holy Macro! Books
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Matt Allington ISBN: 9781615473601
Publisher: Holy Macro! Books Publication: June 1, 2018
Imprint: Holy Macro! Books Language: English
Author: Matt Allington
ISBN: 9781615473601
Publisher: Holy Macro! Books
Publication: June 1, 2018
Imprint: Holy Macro! Books
Language: English

Power BI is a powerful self-service (and enterprise) business intelligence (BI) tool that was first made generally available by Microsoft in July 2015. Power BI is a complete BI package that covers the end to end BI process including data acquisition (get data), data modelling (prepare/model the data) and data visualisation (analyse the data). And there is a lot of good news about this tool including the fact that the skills needed to succeed with Power BI are fully transferable to Microsoft Excel. There are 3 learning areas required to master everything Power BI Desktop has to offer.1. The M Language - used for data acquisition2. The DAX Language - used to prepare and model data3. Visualisation and analysis - used to present data in a compelling wayPower BI is probably the first commercial grade software product that brings all of these areas into a single software package that is completely accessible to a business user (you don't need to be an IT pro). This book focuses on number 2 above, the DAX language (Data Analysis Expressions). Super Charge Power BI Desktop is the second book written by Matt Allington and is a sister book to his first book Learn to Write DAX (first released Dec 2015). Super Charge Power BI Desktop uses the same learning and practice exercise framework as used in Learn to Write DAX however the entire book is written using the Power BI Desktop user interface. Unfortunately simply reading a book is normally not enough for Excel users wanting to get the most out of Power BI Desktop and to learn the DAX language - most people will also need some practice. Super Charge Power BI Desktop is different to other books - it is written in such a way to clearly explain the concepts of Power BI data modelling while at the same time giving hands-on practice to deeply engage the reader to help the new knowledge and concepts stick. The book first presents the theory, then provides worked through sample exercises demonstrating each of the concepts, and finally it provides the reader with practice exercises and answers to maximize learning retention.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Power BI is a powerful self-service (and enterprise) business intelligence (BI) tool that was first made generally available by Microsoft in July 2015. Power BI is a complete BI package that covers the end to end BI process including data acquisition (get data), data modelling (prepare/model the data) and data visualisation (analyse the data). And there is a lot of good news about this tool including the fact that the skills needed to succeed with Power BI are fully transferable to Microsoft Excel. There are 3 learning areas required to master everything Power BI Desktop has to offer.1. The M Language - used for data acquisition2. The DAX Language - used to prepare and model data3. Visualisation and analysis - used to present data in a compelling wayPower BI is probably the first commercial grade software product that brings all of these areas into a single software package that is completely accessible to a business user (you don't need to be an IT pro). This book focuses on number 2 above, the DAX language (Data Analysis Expressions). Super Charge Power BI Desktop is the second book written by Matt Allington and is a sister book to his first book Learn to Write DAX (first released Dec 2015). Super Charge Power BI Desktop uses the same learning and practice exercise framework as used in Learn to Write DAX however the entire book is written using the Power BI Desktop user interface. Unfortunately simply reading a book is normally not enough for Excel users wanting to get the most out of Power BI Desktop and to learn the DAX language - most people will also need some practice. Super Charge Power BI Desktop is different to other books - it is written in such a way to clearly explain the concepts of Power BI data modelling while at the same time giving hands-on practice to deeply engage the reader to help the new knowledge and concepts stick. The book first presents the theory, then provides worked through sample exercises demonstrating each of the concepts, and finally it provides the reader with practice exercises and answers to maximize learning retention.

More books from Database Management

Cover of the book Access 2010 Programmer's Reference by Matt Allington
Cover of the book Applied Oracle Security: Developing Secure Database and Middleware Environments by Matt Allington
Cover of the book Mathematical Aspects of Computer and Information Sciences by Matt Allington
Cover of the book Mapping Urban Practices Through Mobile Phone Data by Matt Allington
Cover of the book Modelling Business Information by Matt Allington
Cover of the book Oracle Quick Guides Part 1 - Oracle Basics: Database & Tools by Matt Allington
Cover of the book The Semantic Web by Matt Allington
Cover of the book Advanced Database Query Systems by Matt Allington
Cover of the book Oracle CRM On Demand Administration Essentials by Matt Allington
Cover of the book Microsoft SQL Server 2012 High-Performance T-SQL Using Window Functions by Matt Allington
Cover of the book Real-World Hadoop by Matt Allington
Cover of the book Advanced MySQL 8 by Matt Allington
Cover of the book Pro Tableau by Matt Allington
Cover of the book Hands-On Machine Learning with Scikit-Learn and TensorFlow by Matt Allington
Cover of the book Data Science on the Google Cloud Platform by Matt Allington
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy