ODBIERZ TWÓJ BONUS :: »

Mastering Power BI - 2nd Edition Chandraish Sinha

Język publikacji: angielskim
Autor:
Chandraish Sinha
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
280
Dostępne formaty:
     ePub
     Mobi
Czytaj fragment

Ebook 76,49 zł najniższa cena z 30 dni

89,90 zł (-25%)
67,43 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

76,49 zł najniższa cena z 30 dni

Poleć tę książkę znajomemu Poleć tę książkę znajomemu!!

Przenieś na półkę

Do przechowalni

Prezent last minute w ebookpoint.pl
Zostało Ci na świąteczne zamówienie opcje wysyłki »
Take a deep dive into the dynamic world of Power BI!

Key Features
In-depth knowledge of Power BI, demonstrated through step-by-step exercises.
Covers data modeling, visualization, and implementing security with complete hands-on training.
Includes a project that simulates a realistic business environment from start to finish.
This version teaches about Artificial Intelligence visuals in Power BI.

Description
Mastering Power BI covers the entire Power BI implementation process. The readers will be able to understand all the concepts covered in this book, from data modeling to creating powerful visualizations.

This book begins with concepts and terminology such as the star-schema, dimensions, and facts. It explains multi-table dataset and demonstrates how to load these tables into Power BI. It shows how to load stored data in various formats and create relationships. Readers will also learn more about Data Analysis Expressions (DAX). This book is a must for developers to learn how to extend the usability of Power BI, to explore meaningful and hidden data insights. Throughout the book, you keep on learning about the concepts, techniques, and expert practices on loading and shaping data, visualization design, and security implementation.

The second edition of Mastering Power BI book adheres to the first edition in terms of providing the basics of business intelligence and Power BI; however, it introduces new concepts and features in terms of data transformation, data profiling, custom hierarchies, AI visuals, and many more.

What you will learn
Learn about Business Intelligence (BI) concepts and their contribution in business analytics.
Learn to connect, load, and transform data from disparate data sources.
Create and execute powerful DAX calculations.
Design various visualizations to prepare insightful reports and dashboards.

Who this book is for
This book is for anyone interested in learning how to use Power BI desktop or starting a career in business intelligence and analytics. While it covers all the fundamentals, it is recommended that the reader be familiar with MS Excel and database concepts.

Table of Contents
1. Understanding the Basics
2. Connect and Shape
3. Advanced Data Transformations
4. Optimize Your Data Model
5. Data Analysis Expressions
6. Visualizations in Power BI
7. Drill Through and Drill Down Reports
8. Artificial Intelligence in Power BI
9. Power BI Service
10. Securing Your Application

Wybrane bestsellery

O autorze książki

Chandraish Sinha is a Business Intelligence enthusiast from Ohio. He brings 17 years of experience in providing cost-effective BI solutions. He is responsible for many QlikView implementations in various industries, namely financial, insurance, pharmaceuticals, and event management. He currently holds QlikView Designer and QlikView Developer certifications. He shares his knowledge and passion through his QlikView blog (https://www.learnallbi.com/). He currently works as an independent BI consultant and helps organizations in implementing BI solutions.

BPB Publications - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki

Zamknij

Wybierz metodę płatności

Ebook
67,43 zł
Dodaj do koszyka
Sposób płatności
Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.