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Big Data tutorial with AWS let us first review what we are going to demo we will create a crawler to crawl data in S3 and create metadata in glue data catalog database next we will query data in S3 using Athena after that create a glue job to transform CSV data to parquet format suppose that we will query S3 data with redshift Spectrum next we query postgres data from redshift using Federated query then we query data in S3 hostgress and redshift together by joining them and finally we will create our reports in quicksite by fetching data from these data sources to begin with letamp;#39;s set up our S3 bucket and data we are in AWS console Amazon S3 section here we have a bucket called auto company which has two subdirectories ingest and processed so under ingest we have cars and trucks subdirectories and under cars we have cars.csv and similarly under drugs we have trucks.csv the process directory is empty let us look at the CSV files so this is cars.csv it has information about cars