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This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificialintelligence (AI) engineers. Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%.
The most important is discovering how to work with data science and artificialintelligence projects. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificialintelligence (AI) engineers. Security is surging.
There are several emerging data trends that will define the future of ETL in 2018. A common theme across all these trends is to remove the complexity by simplifying data management as a whole. A solution like Delta makes ETL unnecessary for the data warehousing. Common in-memory data interfaces.
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