Analyzing Data With Amazon Athena
In this lesson, you will be introduced to Amazon Athena, a serverless interactive query service that makes it easy to directly query data stored in S3 using standard SQL. Athena can also be used to perform analytics operations for big data workloads that use Apache Spark.
Learning Objectives
- Introduce Amazon Athena and see how it can be used to query large data sets stored in S3
- Explain Athena storage and querying concepts, including the process of setting up databases, tables, and partitions
- See how Athena can be used to run Apache Spark applications
Intended Audience
- Anyone looking to learn more about Amazon Athena and/or candidates for AWS certification exams, including the new AWS Certified Data Engineer - Associate (DEA-C01)
Prerequisites
- A basic understanding of S3 and data analytics
Danny has over 20 years of IT experience as a software developer, cloud engineer, and technical trainer. After attending a conference on cloud computing in 2009, he knew he wanted to build his career around what was still a very new, emerging technology at the time — and share this transformational knowledge with others. He has spoken to IT professional audiences at local, regional, and national user groups and conferences. He has delivered in-person classroom and virtual training, interactive webinars, and authored video training courses covering many different technologies, including Amazon Web Services. He currently has nine active AWS certifications, including certifications at the Professional and Specialty level.