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Data Engineering with AWS Course in Bangalore – Elevate Your Skills in the Cloud!

Join the Data Engineering with AWS course today! Advanced courses for data engineers and professionals looking to enhance their skills. Get the option of EMI and receive support for placements!
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Course Duration: 90h
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About Course

The Data Engineering with AWS Course, spanning over 90 hours, provides participants with comprehensive knowledge about AWS services dedicated to data engineering. The course focuses on practical skills that can be applied in real-world situations. Our Data Engineering with AWS Course goes beyond theoretical concepts, providing practical, hands-on experience with AWS services.

Graduates possess a deep knowledge of data engineering in the AWS cloud environment, and they are fully prepared to design strong and reliable solutions for organizations. Get our AWS Data Engineering Course with flexible payment options, a detailed syllabus, and certification included.

Take your career to new heights by mastering data engineering on the AWS cloud! Our AWS Data Engineering Course provides training for beginners and professionals of all levels. Enroll in this course to learn how to navigate the AWS cloud environment.

Develop the necessary expertise to design and implement data engineering solutions with complete confidence. Join now and unlock the unlimited potential of AWS data engineering for your career growth!

The hourly breakdown is indicative and may vary based on the pace of the class and additional interactive activities.

Practical exercises, case studies, and real-world applications should be incorporated throughout the sessions to reinforce learning.

What you’ll learn

     AWS Fundamentals for Data Engineering.

     Understanding the AWS cloud architecture.

     Navigating AWS services relevant to data engineering.

     Data Storage and Retrieval on AWS.

     Leveraging AWS S3 for scalable and secure data storage.

     Utilizing AWS Glue for data cataloging and ETL operations.

     Data Processing with AWS.

     Implementing data processing using AWS EMR (Elastic MapReduce).

     Exploring serverless data processing with AWS Lambda.

     Building Data Pipelines on AWS.

     Constructing end-to-end data pipelines with AWS services.

     Real-time data streaming with Amazon Kinesis.

Requirements

  • Basic Cloud Knowledge: Familiarity with cloud computing concepts.
  • Foundational Data Engineering Skills: Understanding of data storage, processing, and basic ETL concepts.

Course Content

Introduction to AWS Cloud (5 hours)

  • Overview of AWS services
  • Cloud computing models: IaaS, PaaS, SaaS
  • AWS global infrastructure and availability zones

Navigating AWS Services (15 hours)

AWS S3 for Data Storage (10 hours)

AWS Glue for ETL Operations (20 hours)

AWS EMR for Data Processing (10 hours)

Serverless Data Processing with AWS Lambda (10 hours)

: End-to-End Data Pipelines (10 hours)

Real-time Data Streaming with Amazon Kinesis (10 hours)

Capstone Project (10 hours)

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Course level:All Levels
Course Duration: 90h
Enrolled:0
Last Updated:March 9, 2024

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