Description
Course info
Level
Intermediate
Updated
Aug 3, 2020
Duration
2h 12m
Description

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.

About the author
About the author

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

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
If you're studying for the Amazon Data Analytics ‑ Specialty exam or need to work with data analytics on AWS, this course is for you. I'll teach you Amazon's four powerful data analytics services. Specifically, Elasticsearch, Athena, Kinesis Data Analytics, and Redshift. I'm Clarke Bishop, a big data engineer and cloud architect. In my day‑to‑day work, I lead a team of engineers and data scientists to solve real‑world, big data problems. Join me on this journey as we tame data with AWS analytics solutions. We'll start with an imaginary Internet of Things device that will send us hundreds of gigabytes of data every day. We'll analyze the data and even keep the boss happy in the process. You're about to learn how to ingest and analyze log file data with Elasticsearch, ways to visualize Elasticsearch data with Kibana, how to directly query data in S3 with Amazon Athena, we'll even cover the basics of the Glue Data Catalog and Glue crawlers. I'll show you how to analyze data on the fly in real time with Kinesis Data Analytics. And we'll finish with the highlight of the course, how to configure and use Amazon's data warehouse, Redshift. As long as you already know some SQL and have some skills with Amazon's cloud, you're ready for this course. By the end of the course, you'll have essential skills and knowledge for analyzing data using each of Amazon's data analytics services. I hope you'll join me on this adventure of Analyzing Data on AWS.