Building a Serverless Data Lake on AWS (BSDL)

This course covers the following concepts:

• Key services that help enable a serverless data lake architecture
• A data analytics solution that follows the ingest, store, process, and analyze workflow
• Repeatable template deployment for implementing a data lake solution
• Building of a metadata index and enabling search capability
• Setup of a large-scale data ingestion pipeline from multiple data sources
• Transformation of data with simple functions that are event-triggered
• Data processing by choosing the best tools and services for the use case
• Options for analyzing the processed data
• Best practices for deployment and operations