In part 9 section, I would like to explain how to execute queries to S3 bucket which stores analyzed tweet data by utilizing Amazon Athena. Let me show you the scope of this section as below.
2. Create EC2 and application.
https://eeengineer.com/aws-twitter-analysis-part6-create-ec2-instance-by-applying-cloud9/
Firstly, Open CloudFormation console.
And click With new resources (standard).
And upload yaml file, glue_data_catalog.yaml, which is provided by AWS.
You can download it by below URL.
https://d1.awsstatic.com/Developer%20Marketing/jp/magazine/sample/twitter-dashboard.3e2afda65ad814c5603cadf8c12b8c78822d718d.zip
In this yaml file, three tables, tweets, tweetsentiment and tweetentities, in twitter_timeline_dashboard database are defined.
After creating the Database and Tables, CREATE_COMPLETE message will be displayed.
And click Explore the query editor button.
And click View settings button.
Then, set query result location and save it.
Your setting change will be saved as below.
OK, execute any query in Editor section and click Run command.
If your query is correct, query result can be displayed as below.
And the query result will be saved in the S3 bucket.
That’s all for this topic. I hope you could execute query successfully.
In my next article, let me show you how to analyze it by Amazon QuickSight.
Part10
https://eeengineer.com/aws-twitter-analysis-part10-analyze-twitter-data-by-amazon-quicksight/
コメント