How to Setup AWS Athena? A Step-By-Step Guide
Setting up of AWS Athena service is a straigtforward with involving some key steps. The following steps guides you to get started with querying your data in Amazon S3 using Athena.
Step 1: Sign in to AWS Management Console
- Navigate to AWS management console with providing your AWS credentials.
Step 2: Navigate to AWS Athena
- After login, you will landed on AWS management console, from their in the search box search Athena and navigate to that Athena page by clicking on it.
- On click on the Amazon Athena, you will directed to Amazon Athena main page.
Step 3: Set up a Query Result Location
- In the Athena console, click on “Get Started” if you are setting it for the first time.
- Specify the location of the Amazon S3 where to store the query results.
- Click on the settings on the top right options and enter the S3 bucket path where the query results will be saved eg: s3://your-bucket-name/athena-results/
- Click on save to confirm the settings.
Step 4: Create a Database
- In the Athena Query editor, type the following SQL commands to create a new database.
- Click on the run query to execute this command:
CREATE DATABASE mydatabase;
Step 5: Create a Table
- On using the following SQL command, we can create a table that is based on your data in Amazon S3. It customize and S3 location as needed:
- Click on the run query to execute it.
CREATE EXTERNAL TABLE mytable (
id INT,
name STRING,
age INT
)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
WITH SERDEPROPERTIES (
'serialization.format' = ','
) LOCATION 's3://your-bucket-name/data/';
Step 6: Query Your Data
- Now, you can query your data using the standard SQL. For example to select all the records from the table use:
SELECT * FROM mytable;
Step 7: Explore and Analyze Data
- On using various SQL queries to explore and analyze your data.
- It save the queires and results for future reference or reporting.
Guide to AWS Athena: Create, Manage, and Optimize Costs
AWS Athena is a powerful serverless query service provided by AWS for analyzing the data directly in Amazon S3 using standard SQL. It facilitates features like high scalability, cost-effectiveness, easy-to-use platform for running complex queries without the need for extensive infrastructure setup. In this article we will discuss on what is aws athena, its archtiecture, benefits, limitations, advantages, disadvantages and how it difference from Amazon Redshift, Amazon Glue and Microsoft SQL server effectively.
Table of Content
- What is AWS Athena?
- AWS Athena Architecture
- How to Setup AWS Athena? A Step-By-Step Guide
- How to Setup AWS Athena Using AWS CloudFormation Templates? A Step-By-Step Guide
- How to Run Amazon Athena Queries?
- How to Report Data to Other Resources?
- What are the benefits of using Amazon Athena?
- What are some Amazon Athena Limitations?
- Features of AWS Athena
- Advantages of AWS Athena
- Disadvantages of AWS Athena
- Amazon Athena Pricing: How Much Does Athena Cost?
- How Does Amazon Athena compares to AWS Redshift, Microsoft SQL Server and AWS Glue?
- How to Optimize AWS Athena Costs Quickly and Accurately?
- Use Cases of AWS Athena
- Conclusion
- AWS Athena Costs – FAQs