• Duration

    8 to 14 Months

  • Courses

    8

  • LEVEL

    Intermediate

  • Learners

    100+

Data Engineering using AWS Data Analytics

A Comprehensive program to master AWS Data Analytics Services to build Data Engineering Pipelines. This Data Engineering program using AWS Data Analytics Services covers s3, Lambda, EMR, Glue, Athena, Redshift, Kinesis, Kafka, etc.

Roadmap for Data Engineering using AWS Data Analytics

1. AWS Essentials for Databricks

2. Mastering AWS Lambda Functions for Data Engineers

3. Mastering AWS Elastic Map Reduce for Data Engineers

5. Mastering AWS Redshift for Data Engineers

4. Mastering AWS Glue Catalog and Athena for Data Engineers

7. Mastering AWS Managed Service for Kafka for Data Engineers

6. Mastering AWS Kinesis for Data Engineers

8. Deep Dive into Spark using Python for Data Engineers

Pre-Requisites for Data Engineering using AWS Data Analytics

Courses included

Data Engineering using AWS Data Analytics

A Comprehensive Data Engineering Course using AWS Data Analytics Services such as s3, Lambda, EMR, Glue, Athena, Redshift, Kinesis, Kafka, etc.

What's included in Data Engineering using AWS Data Analytics

Engaging and Effective Training

Video Lectures

Well structured and simplified self paced video lectures covering all areas of Data Engineering using AWS Data Analytics.

Lab Environment (ITVersity Labs and Databricks)

Hadoop and Spark Multi Node Cluster and Databricks Single Node Cluster - The best environment to practice and implement the learnings.

Offline Support via Discuss

Offline support for every lecture of Data Engineering using AWS Data Analytics through the Discuss forum on the course player.

Live Support via Expert Live Sessions

Live Sessions with Expert Data Engineers who built their career using AWS Data Analytics Services

Capstone Projects

Structured Capstone projects focused on end to end Data Engineering Pipelines using AWS Data Analytics which will provide  you hands on experience.

Placement Assistance

Placement assistance post the completion of program around AWS Data Analytics will be provided case by case if required. It involves interview preparation such as profile building, mock interviews, etc.

Key Benefits

Control how you learn & progress on acquiring key skills to be a Data Engineering using AWS Data Analytics.

Expert Instructors

Elevate Your Career 

Satisfaction Guarantee

Set and Achieve Goals

Material You'll Love

Affordable Cost

Costs Associated with the Program

To get the AWS Data Analytics Services hands on experience, it's required for your to signup AWS Cloud environment, additional to this program.

It would cost approximately $30 - $50 to practice the complete content available in the program
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Data Engineering using AWS Data  Analytics

A Comprehensive Data Engineering program using AWS Data Analytics Services such as s3, Lambda, EMR, Glue, Athena, Redshift, Kinesis, Kafka, etc.
Founder and Chief Instructor, ITVersity, Inc

Durga Gadiraju

Technology Adviser and Evangelist with 20+ years of IT experience in executing complex projects using a vast array of technologies including Big Data and Cloud.
Patrick Jones - Course author

Frequently asked questions

Who should enroll in the Data Engineering using AWS Data Analytics program?

Below are the desired and targeted audience for this online self paced program
 Experienced Developers in the field of ETL, Data Warehouse, PL/SQL, Mainframes, BI, etc.
 Experienced in Data Engineering using Hadoop, Spark, Hive, etc.
 Experienced IT professionals such as QA, Production Support, etc, aspiring to be Data Engineers
 Other Professionals and Students, who want to pursue their career in the Data Engineering field

What are the Key Skills to be a Data Engineer using AWS Data Analytics?

Here are the majority of the key skills to have a successful career as a Data Engineer using AWS Data Analytics
 Extensive Knowledge of SQL and Decent Programming Ability using Python
 AWS Essentials such as s3, IAM, EC2, RDS, Secrets Manager, Cloud Watch, etc
 Ability to build Data Processing Pipelines using Services such as Lambda Functions, Elastic Map Reduce using Spark
 Ad-hoc Analysis of Data using Amazon Athena on Glue Catalog Tables and Redshift Spectrum
 Build Data Marts for Reports using Amazon Redshift and Redshift Serverless
 Streaming Pipelines using Amazon Managed Streaming for Kafka or AWS Kinesis

Is it mandatory to have prior experience or What are the pre-requisites?

Good understanding of SQL and Python is required. We have courses related to Python and SQL included at nominal cost.

What lab environment access will I get as part of this program?

You'll get lab access for Hadoop and Spark Multi Node Cluster environment (ITVersity Labs). Also you need to sign up for AWS Account to get hands on exposure on all the relevant services related to Data Engineering using AWS Data Analytics.

How long do I get the course and lab access?

Program and the lab access varies from 6 months to 14 months.

What is included as part of the Limited Job Placement Assistance?

Post the completion of the program, individual who opts for the placement assistance will go through the assessments and evaluation of the skills covered as part of the program. Based on the performance and evaluation result, the individual will be considered for the job placement assistance listed below. However, the assistance is limited.
 Tips to build profile and optionally review the Profile (Resume)
 Mock Interviews (1 or 2 Mock Interviews on request)
 Access to out Network (Refer in ITVersity Network on request)