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In the early 2010s, with the rise of the [[internet]], the massive increase in data volumes, velocity, and variety led to the term [[big data]] to describe the data itself, and data-driven tech companies like [[Facebook]] and [[Airbnb]] started using the phrase ''' data engineer'''.<ref name="hist1" /><ref name="hist2" /> Due to the new scale of the data, major firms like [[Google]], Facebook, [[Amazon (company)|Amazon]], [[Apple Inc.|Apple]], [[Microsoft]], and [[Netflix]] started to move away from traditional [[Extract transform load|ETL]] and storage techniques. They started creating '''data engineering''', a type of [[software engineering]] focused on data, and in particular [[data infrastructure|infrastructure]], [[data warehouse|warehousing]], [[data protection]], [[cybersecurity]], [[data mining|mining]], [[data modelling|modelling]], [[data processing|processing]], and [[metadata]] management.<ref name="hist1" /><ref name="hist2" /> This change in approach was particularly focused on [[cloud computing]].<ref name="hist2" /> Data started to be handled and used by many parts of the business, such as [[sales]] and [[marketing]], and not just IT.<ref name="hist2" />
== [[Tool|Tools]] ==
=== Compute ===
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