Data lifecycle management involves managing data from creation to disposal.
Implementing retention policies for data in AWS S3.
Data lakes store raw data for analysis, while data warehouses store structured data for querying.
Using AWS Redshift as a data warehouse and AWS S3 as a data lake.
Tools for data migration include AWS Data Migration Service and Google Cloud Data Transfer.
Migrating databases to AWS RDS using AWS Data Migration Service.
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