Building Data Lakes & Analytics on AWS
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Amazon Web Services776 тыс
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17.04.19 – 17737:38Популярные
27 дней – 4682:53Опубликовано 17 апреля 2019, 18:08
In this session, we show you how to understand what data you have, how to drive insights, and how to make predictions using purpose-built AWS services. Learn about the common pitfalls of building data lakes and discover how to successfully drive analytics and insights from your data. Also learn how services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon ML services work together to build a successful data lake for various roles, including data scientists and business users.
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