December 2023
Intermediate to advanced
324 pages
8h 23m
English
Content preview from Analytics Engineering with SQL and dbt
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Chapter 1. Analytics Engineering
The historical development of analytics includes significant milestones and technologies that have shaped the field into what it is today. It began with the advent of data warehousing in the 1980s, which created the foundational framework for organizing and analyzing business data. Bill Inmon, a computer scientist who continued to publish throughout the 1980s and 1990s, is widely regarded as providing the first solid theoretical foundation for data warehousing.
A subsequent wave of development occurred when Ralph Kimball, another leading contributor to data warehousing and business intelligence (BI), published his influential work, The Data Warehouse Toolkit, in 1996. Kimball’s work laid the foundation for dimensional modeling, marking another crucial milestone in the evolution of analytics. Together, the contributions of Inmon and Kimball, spanning the late 20th century, played pivotal roles in shaping the landscape of data warehousing and analytics.
In the early 2000s, the emergence of tech giants like Google and Amazon created the need for more advanced solutions for processing massive amounts of data, leading to the release of the Google File System and Apache Hadoop. This marked the era of Big Data Engineering, in which professionals used the Hadoop framework to process large amounts of data.
The rise of public cloud providers like Amazon Web Services (AWS) revolutionized the way software and data applications were developed and deployed. ...
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