Amazon Athena
In today’s data-driven world, businesses need to have access to data from multiple sources to make informed decisions. Amazon Athena is a popular cloud-based service that makes it easy to analyze data using standard SQL. Power BI is a popular business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities. In this article, we will explore how to connect to the Amazon Athena data source from inside Power BI using Power Query M language code.
Understanding Power Query M Language Code
Power Query M language code is a functional, case-sensitive language used to retrieve, transform and load data. It is used in Power Query, a data connection and transformation tool in Power BI. Power Query M language code is easy to learn and use, and it allows users to create custom functions, transformations, and connectors.
Prerequisites
Before we start, you need to have the following prerequisites:
– A Power BI account.
– Amazon Athena data source with necessary permissions.
– AWS access key and secret access key.
– Power Query Editor in Power BI Desktop.
Connect to Amazon Athena Data Source
To connect to the Amazon Athena data source, follow the steps given below:
1. Open Power BI Desktop and click on the Home tab.
2. Click on the Get Data button and select the Blank Query option.
3. Click on the Advanced Editor button to open the Power Query Editor.
4. Copy and paste the following code in the editor:
let
Source = AmazonAthena.Database(“athena.us-east-1.amazonaws.com”,
“default”,
[Query=”SELECT FROM mytable”,
Region=”us-east-1″,
S3OutputLocation=”s3://my-bucket/path/to/query/bucket/”]),
mytable= Source{[Schema=”default”,Item=”mytable”]}[Data]
in
mytable
5. Replace “athena.us-east-1.amazonaws.com” with the Amazon Athena endpoint URL for your region.
6. Replace “default” with the name of the Athena database you want to connect to.
7. Replace “SELECT FROM mytable” with the SQL query you want to execute.
8. Replace “us-east-1” with the name of the AWS region where your S3 bucket is located.
9. Replace “s3://my-bucket/path/to/query/bucket/” with the S3 path where the query results will be stored.
Query Execution
To execute the query, follow the steps given below:
1. Click on the Done button to close the Power Query Editor.
2. Click on the Close & Apply button to run the query and load the data into Power BI.
3. The data is now available in Power BI, and you can use it to create reports and visualizations.
Conclusion
In this article, we explored how to connect to the Amazon Athena data source from inside Power BI using Power Query M language code. We also discussed the prerequisites for the connection and the steps to execute the query. Power Query M language code makes it easy to connect to various data sources, and it provides users with the flexibility to create custom functions and transformations. By connecting to the Amazon Athena data source, users can analyze data using standard SQL and generate insights to make informed decisions.
