AWS Services for Data Migration and Processing

In the previous chapter, you learned about several ways of storing data in AWS. In this chapter, you will explore the techniques for using that data and gaining some insight from the data. There are use cases where you have to process your data or load the data to a hive data warehouse to query and analyze the data. If you are on AWS and your data is in S3, then you have to create a table in hive on AWS EMR to query the data in the hive table. To provide the same functionality as a managed service, AWS has a product called Athena, where you create a data catalog and query your data on S3. If you need to transform the data, then AWS Glue is the best option to transform and restore it to S3. Imagine a use case where you need to stream data and create analytical reports on that data. For this, you can opt for AWS Kinesis Data Streams to stream data and store it in S3. Using Glue, the same data can be copied to Redshift for further analytical...