AWS Certified Data Engineer with 6+ REAL Hands-on IT Projects with 140+ Practice Test Exam Question Video Explanation

What you'll learn

Master AWS Glue ETL for data quality, filtering, SQL expressions, joins, file format conversion, and schema inference with Glue Crawler.
Learn Amazon S3 lifecycle policies with hands-on: file transition to S3 IA, Glacier, and deletion based on rules.
Explore S3 versioning: enabling, disabling, and preserving deleted objects through practical demonstrations.
Perform S3 Select queries: CSV/JSON parsing, using delimiters, compression, and running selective SQL queries efficiently.
Implement Athena SQL queries on S3 data using Glue Data Catalog for schema and database creation.
Gain skills for real-world IT projects with architecture diagrams and practical guidance for AWS solutions.
Prepare for AWS DEA-C01 exam with 140+ practice questions explained via elimination techniques.

Requirements

Basic understanding of AWS services such as S3, Glue, and Athena is recommended.
Familiarity with SQL and database concepts will be helpful.

Description

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.

Who this course is for

Aspiring data engineers seeking to build hands-on expertise in AWS data engineering tools and techniques.
Cloud professionals aiming to earn the AWS Certified Data Engineer Associate DEA-C01 certification.
IT specialists looking to enhance their skills in data handling, ETL workflows, and cloud storage.
Professionals transitioning into cloud-based data engineering roles with real-world project experience.
Students and beginners with basic AWS knowledge, eager to kickstart their careers in cloud computing.
Developers seeking to deepen their understanding of AWS Glue, S3, Athena, and Glue Data Catalog.
Certification candidates who value exam preparation with in-depth practice tests and explanations.
Homepage:

https://www.udemy.com/course/aws-certified-data-engineer-associate-course-cloud-guru-amit/