Nisal Mihiranga - Power BI Data Modeling:: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models (English Edition)
Here you can read online Nisal Mihiranga - Power BI Data Modeling:: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models (English Edition) full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2022, publisher: BPB Publications, genre: Romance novel. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:
Romance novel
Science fiction
Adventure
Detective
Science
History
Home and family
Prose
Art
Politics
Computer
Non-fiction
Religion
Business
Children
Humor
Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.
- Book:Power BI Data Modeling:: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models (English Edition)
- Author:
- Publisher:BPB Publications
- Genre:
- Year:2022
- Rating:5 / 5
- Favourites:Add to favourites
- Your mark:
Power BI Data Modeling:: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models (English Edition): summary, description and annotation
We offer to read an annotation, description, summary or preface (depends on what the author of the book "Power BI Data Modeling:: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models (English Edition)" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.
Build Power BI Models Efficiently and Effectively
Key Features
Extensive examples illustrating Power BI and data modeling concepts.
Includes graphical images and explanations of using Power BI.
Numerous hands-on practical examples are teaching best practices in predictive modeling.
Description
Creating data models has never been straightforward. This book demonstrates how to formulate a complete business analytics model that combines several data sources, executes numerous computations, and scales across hundreds of BI users.
To begin, youll learn about the Microsoft Power BI ecosystem by downloading the Power BI desktop and exploring all of its features and capabilities. Through examples, youll learn how to connect to databases of Excel; and SQL Server, shaping the data with Power Query, and then transforming the data into actionable information. You will gain knowledge of the DAX language by exploring it, writing DAX functions, and creating hierarchies. You will be trained to develop effective business intelligence models by studying numerous data modeling topics.
You get to put professionals best practices to the test when handling large data scenarios and executing analytics on top of them. Additionally, the book discusses how to scale Power BI while considering its storage, memory, and security requirements. Youll see that several new topics have been included, including performance tuning, DAX Studio, sharing Power BI reports, and publishing reports to Sharepoint online.
What you will learn
Conduct profiling, cleansing, and transformation of data.
Build data models, aggregate data, and create hierarchies.
Practice DAX language, write calculations, and execute them.
Utilize advanced features including AI visualizations and performance analyzer.
Examine various connection types and connect data from different sources.
Enhance performance by boosting storage and memory.
Who this book is for
This book is intended for data analysts, business analysts, and any other business user who are interested in learning how to develop data models using Power BI from beginning to end. To follow this book and master Power BI, a basic understanding of data visualization would be sufficient.
Table of Contents
1. Introduction to Microsoft Power BI
2. Microsoft Power BI Eco-system
3. Getting Started with Power BI and Connect with Data
4. My first Power BI Report
5. Intro to BI Building Blocks & Dimensional Mod Concepts
6. Get Data from Relational Databases
7. Cleansing, Blending and Transform Data using Power Query
8. Build Relationships
9. Introduction to DAX and Calculated Columns, Cal Measures & Hierarchies
10. Create Insightful Visuals
11. Row-level Security
12. Calculation Groups in Power BI
13. Self-service AI in Power BI
14. Incremental Refresh for Scalable Models
15. Composite Models & Implement Aggregations to Improve query performance
16. Self-service Data Prep for Any Data
17. Optimize DAX
18. Collaborate Your Power BI Workload
19. Performance Tuning via optimizing Storage and Memory
Nisal Mihiranga: author's other books
Who wrote Power BI Data Modeling:: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models (English Edition)? Find out the surname, the name of the author of the book and a list of all author's works by series.
Power BI Data Modeling:: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models (English Edition) — read online for free the complete book (whole text) full work
Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Power BI Data Modeling:: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models (English Edition)" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.
Font size:
Interval:
Bookmark:
Data Modeling
Power Query, and Develop BI Models
www.bpbonline.com
FIRST EDITION 2022
Copyright BPB Publications, India
ISBN: 978-93-89328-837
All Rights Reserved. No part of this publication may be reproduced, distributed or transmitted in any form or by any means or stored in a database or retrieval system, without the prior written permission of the publisher with the exception to the program listings which may be entered, stored and executed in a computer system, but they can not be reproduced by the means of publication, photocopy, recording, or by any electronic and mechanical means.
LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTY
The information contained in this book is true to correct and the best of authors and publishers knowledge. The author has made every effort to ensure the accuracy of these publications, but publisher cannot be held responsible for any loss or damage arising from any information in this book.
All trademarks referred to in the book are acknowledged as properties of their respective owners but BPB Publications cannot guarantee the accuracy of this information.
www.bpbonline.com
Ruwanthi Abeywickrama
My wife, who supports every
possible way throughout my journey
Nisal Mihirangais a seasoned technical consultant who has spent the last ten years designing and implementing business intelligence solutions for customers and partners. Nisal has given talks at major IT conferences such as SQL Saturday, Singapore Datacamp, and user group meetings throughout his career. He has also worked at ZoneTwentyFourSeven, Virtusa, and Fortude as an engineering consultant and in training and mentoring roles.
It was back in 2017 that Nisal got his taste for writing when he was started writing blog posts and technical articles. This combining with his passion for the Power BI tool led him to write this book.
Outside work, Nisal volunteers his spare time as a tech community contributor, helping, organizing events, and mentoring young people in taking up careers in technology.
Dinesh Asankahas 20+ years of experience in the areas of Data. Dinesh has experienced in the areas of Machine Learning, Data Mining, Data Warehousing and Database Administration. He has obtained MPhil in data warehousing. He is a frequent columnist in popular web sites. Currently he is a Senior Lecturer at University of Kelaniya Sri Lanka.
There are a few people I want to thank for the continued and ongoing support they have given me during the writing of this book. First and foremost, I would like to thank my wife for putting up with me while I was spending many weekends and evenings on writingI could have never completed this book without her support.
This book wouldnt have happened if I hadnt had great support from Dinesh Asanka who did the technical review for this book. My gratitude goes to him and all who supported me to make this real.
Finally, I would like to thank BPB Publications for giving me this opportunity to write my first book for them.
When compared to the traditional distribution of business intelligence solutions, self-service business intelligence tools are a relatively new invention. In the past, data warehouses were built, and a development team developed a web-based application with an agreed-upon set of visuals to offer insights. With the latest and greatest self-service business intelligence products, the BI delivery paradigm has been revolutionized.
This move was made to solve a number of significant challenges, including how to undertake ad-hoc analysis, how to lessen reliance on the software application development team, and how the new technology adds value in terms of insight generation.
Font size:
Interval:
Bookmark:
Similar books «Power BI Data Modeling:: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models (English Edition)»
Look at similar books to Power BI Data Modeling:: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models (English Edition). We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.
Discussion, reviews of the book Power BI Data Modeling:: Build Interactive Visualizations, Learn DAX, Power Query, and Develop BI Models (English Edition) and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.