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Analyzing Data on AWS

Studying for the Amazon Certified Data Analytics - Specialty exam, or need to do Big Data Analytics on AWS? In this course, you’ll learn four Amazon Analytics services—specifically Redshift, Elasticsearch, Kinesis Data Analytics, and Athena. 

Clarke Bishop - Pluralsight course - Analyzing Data on AWS
by Clarke Bishop
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What you'll learn

Amazon offers four powerful services for data analytics. Only, there’s a lot you need to know to use them effectively. In this course, Analyzing Data on AWS, you’ll learn to configure and use Amazon Elasticsearch, Amazon Athena, Kinesis Data Analytics, and Amazon Redshift. First, you’ll learn how to analyze streaming log files or other text data with Elasticsearch and how to visualize the data with Kibana. Next, you’ll discover how to directly query data in S3 using Amazon Athena along with the Glue Data Catalog and Glue crawlers. Then, you’ll explore SQL queries on real time streaming data with Kinesis Data Analytics. Finally, you’ll learn how to design and use Amazon’s data warehouse—Redshift. When you’re finished with this course, you’ll have learned key topics covered by the Amazon Data Analytics - Specialty exam, and be ready to create your own data analytics projects on AWS.

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About the author

Clarke Bishop - Pluralsight course - Analyzing Data on AWS
Clarke Bishop

Clarke Bishop is a software engineer and data engineer who loves solving tough problems.

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