Simplify data processing and data science with Spark on Google Cloud

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United States Google Cloud
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274,000
Published on ● Video Link: https://www.youtube.com/watch?v=cLQ8DFKQhcE


Duration: 21:23
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A lot of businesses today choose Apache Spark for its data engineering, data exploration, and machine learning use cases because of its speed, simplicity, and programming language flexibility. But managing clusters and tuning infrastructure have been highly inefficient, and a lack of an integrated experience for different use cases are draining productivity gains, opening up governance risks and reducing the potential value that businesses could achieve with Spark. Join this session to learn how you can simplify data processing and data science jobs with the best of open-source and cloud-native tools for data and AI in a unified and fully managed platform.

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