Overview of AWS Data Engineer Training
This AWS Data engineer training is great path for fresher and experience professionals. This AWS Data engineer certification Learning Path is specifically designed to prepare you for the new AWS Certified Data Engineer – Associate (DEA-C01). Our course covers all the elements required across all 4 of the domains outlined in the exam guide.
Throughout this AWS Data engineer training learning path, you will be guided via our courses, hands-on labs including some lab challenges, and a preparation exam at the end, all of which are focused on areas that will be assessed within the exam.
Description of AWS Data Engineer Course
Our AWS data engineer course is ideal for data professionals, software engineers, and IT professionals looking to leverage AWS services for building robust data pipelines, processing large datasets, and performing advanced analytics.
If you want to make your career in AWS Data Engineering Domain, get through this online course here you will learn to implement the concepts of AWS data engineering on the AWS platform. Adding to this, you will learn to build Data Engineering pipelines with the help of Lambda, Athena, Glue, EMR, etc.
Learn AWS data engineer from industry experts with extensive experience in data engineering and AWS technologies. Benefit from their insights, tips, and best practices.
Skills Covered in AWS Data Engineer Training
AWS Compute – EC2
Python Basics
Athena
EMR Deployment Options
QuickSight
Lake formation
Spark & Pyspark
Glue
AWS Data Engineer Syllabus
AWS Introduction
- What is Data Engineering
- What is cloud computing
- AWS Services
Data Engineering Fundamentals –
- 5 vs of big data,
- types of data,
- data sources and formats
- ETL,
- data lake vs data warehouse,
- data mesh,
- overview of data modeling
Python Basics –
- Python Features
- Datatypes
- operators
- control statements
- strings
- lists
- tuples
- functions
EMR –
- What is EMR,
- overview, benefits,
- architecture, Data sources
- EMR deployment options,
- create resources for use with EMR – VPC,
- S3 bucket,
- IAM role
- creating EMR cluster on EC2,
- cluster lifecycle,
- terminating the cluster,
- Clean Up the Amazon EMR Resource
- cloning EMR cluster,
- Bootstrap actions
- EMR Studio Workspaces (EMR Notebook )- Set up an EMR studio
- EMR – Run a Spark Job with Amazon EMR Studio Notebook
QuickSight –
- Overview,
- terminology
- Create an analysis,
- create dashboard
- AWS Compute – EC2
- AWS IAM – Create user
- AWS S3 – Create bucket
- AWS CLI
- SQL Basics
- Data Sampling Techniques,
- Data Skew Mechanisms,
- Data Validation and Profiling
Athena –
- Overview
- AWS services integrated with Athena
- creating databases,
- tables,
- running queries
Spark & Pyspark
- Overview
- architecture
- transformations
Glue –
- Introduction,
- architecture
- Crawl and catalog data
- Run ETL using glue studio
Lake Formation –
- overview,
- AWS service integration with Lake Formation
- Creating a data lake from an AWS CloudTrail source (ppt only , no hands on )
- SSM Parameter store
- Amazon Cloud Watch
- Amazon DynamoDB
- Amazon Redshift Intro & Architecture
- Redshift Data Flows and the COPY command
- Amazon Kinesis Data Streams
- AWS Lambda
- Amazon Managed Workflows for Apache Airflow (Amazon MWAA)
AWS Data Engineer Training
We are provided online and offline AWS data engineer training. If you want to take online or offline training in AWS data Engineer course So, We provide flexible timings to all our student. If this timing schedule doesn’t match please let us know we will schedule batch timing according to your flexible time.
Duration |
Timings |
|---|---|
| (Mon – Sat) 45 Days | 7:00 AM to 8:00 AM |
| (Mon – Sat) 45 Days | 7:00 PM to 8:00 PM |
Live Training Sessions
Doubt Clearing Session
Job Assistance
Weekly Assignment will be given
Exam Preparation
Recorded Session Access for 6 Months
Training Certification that Accepted in globally
Live Demo Session
2Hrs Daily Classes
Excellent Classroom Infrastructure
Doubt Clearing Session
Weekly Assignment Task
Delivered by Working Professionals
Training Certification that Accepted in globally
AWS Data Engineer Certification
This AWS data engineer course training will be designed by expert trainer to easily clear a AWS data engineer – Associate exam. We are cover all trending and important topic that enhance your knowledge and skills. After the completing AWS data engineer training course from iTrainU institute we will provide certificate that accepted globally.
iTrainU institute, certification acceptable in all global company around the worldwide. We provide best theoretical or practical knowledge with live project of AWS data engineer.
Our AWS data engineer certification is the best for fresher as well as experience you can add this certificate in your resume and also it increase your value at the time of Interview.
Why Learn AWS Data Engineer Online Training With iTrainU Institute?
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AWS Data Engineer Training (FAQ)
What is the AWS Data Engineer Certification ?
The AWS Data Engineer certification validates the technical skills and expertise needed to design, build, maintain, and troubleshoot data processing systems on AWS. It covers various AWS data services and tools for processing, storing, and analyzing data effectively.
How can I prepare for the AWS Data Engineer certification exam?
Preparation typically involves studying the exam guide provided by AWS, which outlines the topics covered in the exam. AWS offers official training courses, practice exams, whitepapers, and documentation to help candidates prepare. Additionally, third-party training providers and online resources may also be useful for exam preparation.
Does AWS require coding skills?
While basic usage of AWS services can be managed without coding through the AWS Management Console, coding skills become crucial for more advanced tasks, customizations, automation, and building applications that leverage the full potential of AWS services.