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Data Engineering using AWS Analytics Services

Data Engineering using AWS Analytics Services

Build Data Engineering Pipelines using AWS Analytics Services such as Glue, EMR, Athena, Kinesis, Quick Sight, etc

Data Engineering is all about building Data Pipelines to get data from multiple sources into Data Lake or Data Warehouse and then from Data Lake or Data Warehouse to downstream systems. As part of this course, I will walk you through how to build Data Engineering Pipelines using AWS Analytics Stack. It includes services such as Glue, Elastic Map Reduce (EMR), Lambda Functions, Athena, QuickSight, and many more.

Best Seller CourseUltimate AWS Certified Advanced Networking Specialty 2021

What you’ll learn

  • Data Engineering leveraging AWS Analytics features
  • Managing Tables using Glue Catalog
  • Engineering Batch Data Pipelines using Glue Jobs
  • Orchestrating Batch Data Pipelines using Glue Workflows
  • Running Queries using Athena – Server less query engine service
  • Using AWS Elastic Map Reduce (EMR) Clusters for building Data Pipelines
  • Using AWS Elastic Map Reduce (EMR) Clusters for reports and dashboards
  • Data Ingestion using Lambda Functions
  • Scheduling using Events Bridge
  • Engineering Streaming Pipelines using Kinesis
  • Streaming Web Server logs using Kinesis Firehose
  • Overview of data processing using Athena
  • Running Athena queries or commands using CLI
  • Running Athena queries using Python boto3
  • Creating Redshift Cluster, Create tables and perform CRUD Operations
  • Copy data from s3 to Redshift Tables

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