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 Helder 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. With this book, you'll learn: What DBT is and how a DBT project is structured How DBT 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 fit DBT into data warehousing and laking architecture How to build tests for data transformations
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Product Details
Dimensions: 178 x 233mm
Publication Date: 15 Dec 2023
Publisher: O'Reilly Media
Publication City/Country: United States
Language: English
ISBN13: 9781098142384
About Helder RussaRui Machado
Rui Machado is a Director of Data Engineering at Monstarlab and has a background in Information Technologies and Data Science. Has over a decade of relevant experience in the architecture and implementation of data warehouses data lakes and decision support systems in industries such as Retail Ecommerce Supply Chain Healthcare and Social Networks. Has led Engineering and Analytics teams at Jumia Nike and Facebook. He is also co-founder and CEO of ShopAI.co. He has previously collaborated with Synfusion in publishing three technical books on Powershell SSIS and BizTalk Server. HR. Helder Russa is a Data Engineering Lead at Jumia with a background in Information Technologies and Data Science. Has over 10 years of professional experience in computer science with an emphasis on evolving and maintaining data solutions applied to decision making. Nowadays he works as a lead data engineer at Jumia where he contributes to the strategy definition design and implementation of multiple Jumia data platforms. In similitude and since 2018 he is a co-founder and data architect of ShopAI a company specialized in deep learning that leverages the capabilities of the image for optimization of search channels inside webshops. LinkedIn profile: https: //www.linkedin.com/in/hrussa/