The Fundamentals of Analytics Engineering
Dumky de Wilde
Analytics Engineer (Xebia Data)
Written by a team of 7 industry experts, we have published The Fundamentals of Analytics Engineering to help you navigate the world of data and analytics from foundational concepts to advanced techniques of data ingestion and warehousing, data lakehouse, and data modeling. With the rising role of the analytics engineer over the last few years we like to help better understand this discipline and go from raw data to structured insights.
From data quality and observability to fostering collaboration and software engineering best practices on codebases, we'll go over effective strategies for ensuring data integrity and driving success. And with invaluable insights into gathering business requirements, documenting complex business logic, and the importance of data governance, you'll develop a holistic understanding of the analytics lifecycle.
We share some of the core concepts the book, what it means to be an analytics engineer and how we developed and refined our perspective along the way.
Ricardo Granados
Analytics Engineer (Xebia Data)
Written by a team of 7 industry experts, we have published The Fundamentals of Analytics Engineering to help you navigate the world of data and analytics from foundational concepts to advanced techniques of data ingestion and warehousing, data lakehouse, and data modeling. With the rising role of the analytics engineer over the last few years we like to help better understand this discipline and go from raw data to structured insights.
From data quality and observability to fostering collaboration and software engineering best practices on codebases, we'll go over effective strategies for ensuring data integrity and driving success. And with invaluable insights into gathering business requirements, documenting complex business logic, and the importance of data governance, you'll develop a holistic understanding of the analytics lifecycle.
We share some of the core concepts the book, what it means to be an analytics engineer and how we developed and refined our perspective along the way.
Written by a team of 7 industry experts, we have published The Fundamentals of Analytics Engineering to help you navigate the world of data and analytics from foundational concepts to advanced techniques of data ingestion and warehousing, data lakehouse, and data modeling. With the rising role of the analytics engineer over the last few years we like to help better understand this discipline and go from raw data to structured insights.
From data quality and observability to fostering collaboration and software engineering best practices on codebases, we'll go over effective strategies for ensuring data integrity and driving success. And with invaluable insights into gathering business requirements, documenting complex business logic, and the importance of data governance, you'll develop a holistic understanding of the analytics lifecycle.
We share some of the core concepts the book, what it means to be an analytics engineer and how we developed and refined our perspective along the way.
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