Isbn: 9781098148553 - data modeling with microsoft power bi: self-service and enterprise dwh with power bi (14 Ergebnisse)

paperback. Zustand: Very Good. Cover and edges may have some wear.

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

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

Zustand: New. In English.

Zustand: New.

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

Zustand: NEW.

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

Zustand: 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.

Taschenbuch. Zustand: 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. Zustand: New.

Taschenbuch. Zustand: Neu. Data Modeling with Microsoft Power BI | Self-Service and Enterprise DWH with Power BI | Markus Ehrenmueller-Jensen | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | O'Reilly Media | EAN 9781098148553 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: 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 ETLLibri GmbH, Europaallee 1, 36244 Bad Hersfeld Englisch.…

Taschenbuch. Zustand: 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.…