Analytics engineering with SQL and dbt:

With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. dbt (data build tool) helps you take data further. This practical book shows data analysts, data engineers, BI...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteiligte Personen: Machado, Rui (VerfasserIn), Russa, Hélder (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Sebastopol, CA O'Reilly Media, Inc. 2023
Ausgabe:[First edition].
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781098142377/?ar
Zusammenfassung:With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. dbt (data build tool) helps you take data further. This practical book shows data analysts, data engineers, BI developers, and data scientists how to create a true self-service transformation platform through the use of dynamic SQL. Authors Rui Machado from Monstarlab and Hélder Russa from Jumia show you how to quickly deliver new data products by focusing more on value delivery and less on architectural and engineering aspects. If you know your business well and have the technical skills to model raw data into clean, well-defined datasets, you'll learn how to design and deliver data models without any technical influence.
Beschreibung:Includes index
Umfang:1 Online-Ressource (324 Seiten) illustrations
ISBN:9781098142346
1098142349
9781098142353
1098142357