Learn AWS Data Engineering

ETL & BI on AWS Cloud

Learn AWS Data Engineering
Learn AWS Data Engineering

Learn AWS Data Engineering udemy course

ETL & BI on AWS Cloud

What you'll learn:

Data Engineering using AWS Analytics Services

  • 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 – Serverless 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

Requirements:

  • Programming experience using Python
  • Data Engineering experience using Spark
  • Ability to write and interpret SQL Queries
  • This course is ideal for experienced data engineers to add AWS Analytics Services as key skills to their profile

Description:

A hands on course that covers majority of the typical data engineering / ETL scenarios.

In this course you will learn:

  • Different services and concepts of AWS data engineering

  • Creating serverless data lake using S3, Glue and Athena

  • Ingesting data using Rest Api

  • Ingesting data using Sftp server

  • Ingesting data into Database (AWS RDS - Postgre SQL)

  • Incremental data loading

Prerequisites:

  • An active AWS account

  • Python / SQL knowledge

Who this course is for:

Course Details:

  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Learn AWS Data Engineering udemy free download

ETL & BI on AWS Cloud

Demo Link: https://www.udemy.com/course/learn-aws-data-engineering/