AWS Data Engineer Bootcamp: The Complete Guide

Master AWS Data Engineering – Build Real World Data Pipelines on AWSBecome a professional AWS Data Engineer by mastering the most important AWS data engineering services used by companies worldwide. This course is designed to help you build real-world data pipelines, data lakes, ETL workflows, streaming pipelines, and analytics solutions using AWS.If you want to become an AWS Data Engineer, Cloud Data Engineer, Big Data Engineer, or prepare for AWS Data Analytics and AWS Data Engineer roles, this course will give you practical hands-on experience with the most important AWS services.You will learn how to design and build end-to-end data engineering pipelines using AWS services like S3, Glue, Lambda, Kinesis, Redshift, Athena, EMR, SNS, CloudWatch and more.This course focuses heavily on real-world projects and hands-on labs, so you will gain the practical skills needed to work as an AWS Data Engineer in production environments.What You Will LearnBuild end-to-end AWS Data Engineering pipelinesCreate Data Lakes using Amazon S3 Perform ETL using AWS GlueProcess big data using Amazon EMRBuild real-time streaming pipelines using Amazon Kinesis Run serverless data pipelines using AWS Lambda Query data using Amazon Athena Build Data Warehouses using Amazon Redshift Implement event-driven architectures using SNS and SQS Monitor pipelines using AWS CloudWatch Design production-grade AWS data architecture Understand best practices for AWS Data Engineering Work with structured and semi-structured data Build