ISBN: 9781098148553 - data modeling with microsoft power bi: self-service and enterprise data warehouse with power bi (36 resultados)

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Paperback or Softback. Condición: New. Data Modeling with Microsoft Power Bi: Self-Service and Enterprise Data Warehouse with Power Bi. Book.

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Paperback. Condición: New. 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-SQLApply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensionsSolve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQLDiscover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQLWork with tables, relations, set operations, normal forms, dimensional modeling, and ETL. …

Paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Condición: New.

Paperback. Condición: New. 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-SQLApply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensionsSolve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQLDiscover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQLWork with tables, relations, set operations, normal forms, dimensional modeling, and ETL. …

Condición: New. 2024. 1st Edition. paperback. . . . . .

Paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 9-10 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New. In English.

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Paperback. Condición: new. Paperback. 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-SQLApply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensionsSolve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQLDiscover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQLWork with tables, relations, set operations, normal forms, dimensional modeling, and ETL 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. 2024. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Condición: New.

Paperback. Condición: Brand New. 750 pages. 9.19x7.00x9.19 inches. In Stock.

Taschenbuch. Condición: Neu. Neuware -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 Englisch.…

Condición: NEW.

Taschenbuch. Condición: Neu. Neuware -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 Englisch.…

Condición: New. 1st edition NO-PA16APR2015-KAP.

Taschenbuch. Condición: Neu. Neuware -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.…

Paperback. Condición: New. 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-SQLApply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensionsSolve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQLDiscover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQLWork with tables, relations, set operations, normal forms, dimensional modeling, and ETL. …

Taschenbuch. Condición: Neu. Neuware - 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.…

Condición: New. KlappentextData modeling is the single most overlooked feature in the 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 Po.

paperback. Condición: New.

Paperback. Condición: new. Paperback. 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-SQLApply best practices for calculations, flags and indicators, time and date, role-playing dimensions and slowly changing dimensionsSolve challenges such as binning, budget, localized models, composite models, and key value with DAX, Power Query, and T-SQLDiscover and tackle performance issues by applying solutions in DAX, Power Query, and T-SQLWork with tables, relations, set operations, normal forms, dimensional modeling, and ETL 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…