Importing data from sources
The first step in the data preparation journey is to import data from a source(s). There are four options from which data can be imported: Amazon S3, Amazon Athena, Amazon Redshift, and Snowflake. Amazon S3 is an object store service for developers to store virtually any kind of data, including text files, spreadsheets, archives, and ML models. Amazon Athena is an analytic service that gives developers an interactive and serverless SQL-based query experience for data stored in Amazon S3. Amazon Redshift is a data warehouse service that makes it easy to query and process exabytes of data. Snowflake is a data warehouse service from Snowflake Inc. In this chapter, we will be importing data from Amazon S3 and Amazon Athena, which are the two most common data sources. We have two tables in CSV format saved in the SageMaker default S3 bucket and a table available in Amazon Athena as we did in the chapter03/1-prepare_data.ipynb notebook.
