Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale

The book "DBT: The Definitive Guide" teaches how to create a self-service transformation platform using dynamic SQL, focusing on value delivery and technical skills. It covers DBT architecture, collaboration, tools, and testing, helping data analysts, engineers, and scientists deliver data products efficiently.

Format: Paperback / softback
Length: 250 pages
Publication date: 15 December 2023
Publisher: O'Reilly Media

The transition from data warehouses to data lakes has brought about a significant change in the way data is handled. Instead of storing data in centralized repositories after it has undergone transformation, data now lands in these repositories in its raw form. This allows engineers to model and shape raw data into clean, well-defined datasets, enabling them to extract valuable insights and make informed decisions.

One tool that has emerged to facilitate this data transformation process is DBT (Data Build Tool). DBT is a powerful tool that helps data analysts, data engineers, BI developers, and data scientists create a self-service transformation platform. It enables them to quickly deliver new data products by focusing more on value delivery and less on architectural and engineering aspects.

In their book, "DBT: The Definitive Guide," authors Rui Machado from Monstarlab and Helder Russa from Jumia provide a comprehensive guide on how to leverage DBT to build data models. The book covers various topics, including what DBT is, how a DBT project is structured, how it fits into the data engineering and analytics worlds, how to collaborate on building data models, the main tools and architectures for building useful, functional data models, how to integrate DBT into data warehousing and lake architecture, and how to build tests for data transformations.

One of the key advantages of using DBT is that it allows data professionals to design and deliver data models without any technical influence. By leveraging DBT's dynamic SQL capabilities, data analysts and engineers can quickly and efficiently transform raw data into clean, well-defined datasets. This not only saves time and resources but also ensures that data models are accurate and reliable.

Furthermore, DBT fits seamlessly into existing data warehousing and lake architecture, making it a versatile tool for data transformation. It provides a standardized approach to data modeling, enabling organizations to maintain consistency and coherence across their data infrastructure.

In conclusion, the shift from data warehouses to data lakes has brought about a new era of data management. DBT is a powerful tool that enables data professionals to create a self-service transformation platform and build data models without any technical influence. By leveraging DBT's dynamic SQL capabilities, organizations can quickly deliver new data products and extract valuable insights from their data. Whether you are a data analyst, data engineer, BI developer, or data scientist, "DBT: The Definitive Guide" is a valuable resource that will help you take your data transformation to the next level.

Weight: 560g
Dimension: 177 x 234 x 19 (mm)
ISBN-13: 9781098142384