AWS Athena - Interactive SQL Interface
Learn AWS Athena interacting with S3 and other data sources using Sql queries
Updated on Sep, 2023
Language - English
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets.
Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning.
Amazon Athena uses Presto with ANSI SQL support and works with a variety of standard data formats, including CSV, JSON, ORC, Avro, and Parquet. Athena is ideal for interactive querying and can also handle complex analysis, including large joins, window functions, and arrays. Amazon Athena is highly available; and executes queries using compute resources across multiple facilities and multiple devices in each facility. Amazon Athena uses Amazon S3 as its underlying data store, making your data highly available and durable.
What will you learn in this course:
- Creating a database
- Creating tables
- Create table out of a file
- Querying the data from S3 bucket
- CTAS (Create Table As Select)
- Partitions and Bucketing
- Interact with structured, unstructured and semi structured data
- Store the data in TEXTFILE, PARQUET, JSON, ORC and AVRO formats
What are the prerequisites for this course?
Sql knowledge is required
Check out the detailed breakdown of what’s inside the course
- Promo 00:50 00:50
- About the Course 00:53 00:53
- Introduction and Navigation of Athena Interface 06:04 06:04
Database and Tables
Partition and Bucketing
Jim MacaulaySenior Software Development Architect
My self Jim, am an experienced Software and Robotics Engineer with a demonstrated history of working in the financial services industry. Passionate about teaching and blogging. Am also a YouTuber and an Instructor. Skilled in Data Engineering with various ETL, Database and Cloud Technologies, and a Robotics Engineer. Strong consulting professional with a Master’s degree focused in Software Systems (Data Analytics) from Birla Institute of Technology and Science, Pilani.
User your certification to make a career change or to advance in your current career. Salaries are among the highest in the world.
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