The next 5 years of Data Engineering in 3 minutes
Where is data engineering going in the next 5 years?
We're seeing a bunch of trends here.
Data Velocity - streaming pipelines will become more common over the next 5 years. Learning things like Scala and Apache Flink (https://flink.apache.org/) will make it so data engineers can be ahead of the game here.
Data Quality - machine learning is only as good as the data you feed into it. Data engineers who are skilled at creating these checks will be in high demand. Look into Amazon Deequ (https://github.com/awslabs/deequ) and Great Expectations (https://greatexpectations.io/)
Cloud tools - the cloud platforms like Snowflake and BigQuery will continue to make some aspects of data engineering simpler. Learning how to harness the power of these platforms will definitely help grow your career over the next 5 years.
Data Privacy - laws like GDPR and CCPA are making data privacy and governance trickier. Data engineers who are aware of these laws and how to implement compliant will continue to be in high demand.
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