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Building a Serverless Data Lake on AWS (BSDL)

Detailed Course Outline

  • 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 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 available to better analyze the processed data
  • Best practices for deployment and operations