The technical presentation will show a demo of how to go about creating an AWS Analytics and data visualization pipeline from ground up. Following technologies and workflow will be covered in the presentation:
#1)Cloud watch event triggers to start off the analytics pipeline,
#2)Far-gate technology that will transform the data to an intermediate format suitable for analytics
#3)AWS crawler to populate the AWS Glue Data Catalog with tables and data
#4)AWS Glue job to extract, transform, and load (ETL) scripts . I will demonstrate how to create a Glue Job that will read data from AWS glue database and map it to new columnar PARQUET format files and store them in Amazon S3 bucket.
#5)Demonstrate how to use Amazon Athena as an interactive query service in the final stage of the analytics pipeline to surface the data directly from the PARQUET format files in Amazon S3 using standard SQL queries.