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Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI

Description:

Data modeling is the single most overlooked feature in Power BI Desktop, yet it's what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher.

Author Markus Ehrenmueller-Jensen, founder of Savory Data, shows you the basic concepts of Power BI's semantic model with hands-on examples in DAX, Power Query, and T-SQL. If you're looking to build a data warehouse layer, chapters with T-SQL examples will get you started. You'll begin with simple steps and gradually solve more complex problems.

This book shows you how to:

  • Normalize and denormalize with DAX, Power Query, and T-SQL
  • Apply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensions
  • Solve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQL
  • Discover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQL
  • Work with tables, relations, set operations, normal forms, dimensional modeling, and ETL


Review

Select Guide Rating

About the Author

Markus Ehrenmueller-Jensen is the founder of Savory Data and has worked as a project leader, trainer & consultant for data engineering, business intelligence, and data science since 1994. He is an educated software engineer, graduated business educator, and professor for databases and project engineering at HTL Leonding (technical college) and certified in MCSE Data Platform, MCSE Business Intelligence, and MCT. Markus speaks regularly at international conferences (eg. PASS Summit, SQLBits, SQL Saturdays, SQL Days, Power BI World Tour, ...) and writes articles for well-known journals. He is the author of 'Self-Service AI in Power BI Desktop' (Apress, 2020) and co-author of 'Power BI MVP Book' (Amazon, 2019). In 2013 he co-founded Data Community Austria (formerly known as SQL PASS Austria and Power BI Usergroup Austria) and has organized Data Saturdays in Austria since 2014. For his technical leadership in the community, he was awarded as a Microsoft Data Platform MVP in 2017.

Reviews:

Nicht für jeden geeignet

M. · 22 June 2025

Das Buch beginnt mit einer Einführung zu generellen Konzepten im Bereich Datenmodellierung, insbesondere für analytische Anwendungen, die Verwendung in Power BI. Dafür werden Konzepte wie Star Schema, Joins, Set-Opeerationen eingeführt. OK. Das war für mich weitgehend Wiederholung und eher unnötig. Dann werden diese Konzepte in DAX, Poweer Query/M, SQL noch einmal wiederholt, halt aus der Perspektive der jeweiligen Sprache und einigen Besonderheiten. Meiner Meinung nach, fehlt es bei den eingewobenen Praxisbeispielen an der Tiefe. Es werden Codebestandteile gelistet, die ein Wissen voraussetzen, dass überhaupt nicht zu der oberflächlichen Einführung passt. Daher kann ich das Buch weder für Anfänger noch für Fortgeschrittene wirklich empfehlen. Da helfen auch die Beispieldateien auf GitHub nicht. Potenzial für eine zweite, bessere Auflage.

Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI

Product ID: K109814855K
Condition: New

4.3

AED37375

Price includes VAT & Import Duties
Type: Paperback
Availability: In Stock

Quantity:

|

Order today to get by 7-14 business days

This item qualifies for free delivery

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Imported From: United Kingdom

At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.

BOLO is not an authorized or official retailer for most brands, nor are we affiliated with manufacturers unless specifically stated on a product page. Instead, we source verified sellers, authorized distributors or directly from the manufacturer.

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Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.

BOLO operates in accordance with the laws and regulations of United Arab Emirates. Any items found to be restricted or prohibited for sale within the UAE will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in United Arab Emirates are listed on our website.

All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.

All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.

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Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI

Product ID: K109814855K
Condition: New

4.3

Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI-0
Type: Paperback

AED37375

Price includes VAT & Import Duties
Availability: In Stock

Quantity:

|

Order today to get by 7-14 business days

This item qualifies for free delivery

Returns & Warranty policies

Imported From: United Kingdom

At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.

BOLO is not an authorized or official retailer for most brands, nor are we affiliated with manufacturers unless specifically stated on a product page. Instead, we source verified sellers, authorized distributors or directly from the manufacturer.

Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.

If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.

Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.

All product information, images, descriptions, and reviews originate from the manufacturer or from trusted sellers overseas. BOLO is not affiliated with, endorsed by, or an authorized retailer for most brands listed on our website unless stated otherwise.

While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.

Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.

BOLO operates in accordance with the laws and regulations of United Arab Emirates. Any items found to be restricted or prohibited for sale within the UAE will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in United Arab Emirates are listed on our website.

All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.

All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.

Description:

Data modeling is the single most overlooked feature in Power BI Desktop, yet it's what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher.

Author Markus Ehrenmueller-Jensen, founder of Savory Data, shows you the basic concepts of Power BI's semantic model with hands-on examples in DAX, Power Query, and T-SQL. If you're looking to build a data warehouse layer, chapters with T-SQL examples will get you started. You'll begin with simple steps and gradually solve more complex problems.

This book shows you how to:

  • Normalize and denormalize with DAX, Power Query, and T-SQL
  • Apply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensions
  • Solve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQL
  • Discover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQL
  • Work with tables, relations, set operations, normal forms, dimensional modeling, and ETL


Review

Select Guide Rating

About the Author

Markus Ehrenmueller-Jensen is the founder of Savory Data and has worked as a project leader, trainer & consultant for data engineering, business intelligence, and data science since 1994. He is an educated software engineer, graduated business educator, and professor for databases and project engineering at HTL Leonding (technical college) and certified in MCSE Data Platform, MCSE Business Intelligence, and MCT. Markus speaks regularly at international conferences (eg. PASS Summit, SQLBits, SQL Saturdays, SQL Days, Power BI World Tour, ...) and writes articles for well-known journals. He is the author of 'Self-Service AI in Power BI Desktop' (Apress, 2020) and co-author of 'Power BI MVP Book' (Amazon, 2019). In 2013 he co-founded Data Community Austria (formerly known as SQL PASS Austria and Power BI Usergroup Austria) and has organized Data Saturdays in Austria since 2014. For his technical leadership in the community, he was awarded as a Microsoft Data Platform MVP in 2017.

Reviews:

Nicht für jeden geeignet

M. · 22 June 2025

Das Buch beginnt mit einer Einführung zu generellen Konzepten im Bereich Datenmodellierung, insbesondere für analytische Anwendungen, die Verwendung in Power BI. Dafür werden Konzepte wie Star Schema, Joins, Set-Opeerationen eingeführt. OK. Das war für mich weitgehend Wiederholung und eher unnötig. Dann werden diese Konzepte in DAX, Poweer Query/M, SQL noch einmal wiederholt, halt aus der Perspektive der jeweiligen Sprache und einigen Besonderheiten. Meiner Meinung nach, fehlt es bei den eingewobenen Praxisbeispielen an der Tiefe. Es werden Codebestandteile gelistet, die ein Wissen voraussetzen, dass überhaupt nicht zu der oberflächlichen Einführung passt. Daher kann ich das Buch weder für Anfänger noch für Fortgeschrittene wirklich empfehlen. Da helfen auch die Beispieldateien auf GitHub nicht. Potenzial für eine zweite, bessere Auflage.

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