Building a Big Data and Analytics Practice: From Zero to Hero in 5 Steps (Level 200)
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Amazon Web Services776 тыс
Следующее
24.08.18 – 47225:00Популярные
4 дня – 2 7641:30
Опубликовано 24 августа 2018, 19:51
Learn more about the AWS Innovate Online Conference at - amzn.to/2PCDzQG.
So you can get the most value from your data, AWS provides the most comprehensive, secure, scalable, and cost-effective portfolio of services that enables you to build your data lake in the cloud. These services also enable you to analyze all of your data—including data from IoT devices—with a variety of analytical approaches, such as ML. Many partners want to expand their competency to include building a big data and analytics practice with AWS, and this session outlines five steps they can take to establish this.
Speaker: David McAmis, Partner Solution Architect, Amazon Web Services
So you can get the most value from your data, AWS provides the most comprehensive, secure, scalable, and cost-effective portfolio of services that enables you to build your data lake in the cloud. These services also enable you to analyze all of your data—including data from IoT devices—with a variety of analytical approaches, such as ML. Many partners want to expand their competency to include building a big data and analytics practice with AWS, and this session outlines five steps they can take to establish this.
Speaker: David McAmis, Partner Solution Architect, Amazon Web Services
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