This course is your ultimate guide to mastering AWS Data Engineering and acing the AWS Certified Data Engineer Associate DEA-C01 exam. With real-world scenarios and architecture diagrams, this hands-on course provides in-depth learning on AWS Glue ETL, Amazon S3, Athena, and Glue Data Catalog.Hands-On Projects Covered in This Course:AWS Glue Quick Overview Project: Learn the basics of AWS Glue to get started with.AWS Glue ETL Project: Learn data quality checks, filtering, custom SQL expressions, inner joins, file format conversions, and schema inference using AWS Glue Crawler.Amazon S3 Lifecycle Policies: Create S3 buckets, upload files, and configure lifecycle rules to transition files to S3 Standard-IA after 35 days, S3 Glacier after 90 days, and delete objects after 120 days.Amazon S3 Object Versioning: Enable and disable versioning, understand version IDs, and demonstrate how deleted objects are preserved in versioning-enabled buckets.S3 Query Select: Configure S3 Select for querying CSV/JSON files, execute SQL queries like COUNT(*) and TOP rows, and export query results efficiently.Query S3 Data Using Athena: Create an S3 bucket, set up Amazon Athena, define database and schema with Glue Data Catalog, and execute SQL queries on uploaded data.Additional Highlights:Real-world architecture diagrams for IT projects.140+ practice exam questions with video explanations to prepare for the AWS DEA-C01 exam.Whether you're a beginner or a professional, this course equips you with practical skills to advance your career in cloud data engineering.
What you'll learn
Understanding AWS Glue and its functionalities
Implementing data quality checks and custom SQL expressions using AWS Glue
Configuring AWS S3 for lifecycle policies and object versioning