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.
Author Name: Clarke Bishop
Author Description:
Clarke Bishop is a Cloud Architect and Data Engineer who loves solving tough problems. He’s worked in Manufacturing, Agriculture, Telecommunications, Construction, Insurance, Financial Services, Human Resources, Marketing, and Media. Skills include Big Data with Spark and Python, Cloud Architecture and Full Stack Web Application Development with JavaScript frameworks and HTML. Clarke has an MBA with a concentration in Finance, a Masters in Electrical Engineering, and a Bachelors in Electrical En… more

Table of Contents

• Course Overview
  1min
• Data Analytics on AWS
  12mins
• Amazon Elasticsearch
  29mins
• Amazon Athena
  21mins
• Kinesis Data Analytics
  17mins
• Amazon Redshift
  45mins
• Course Summary
  4mins