Naukri Learning > Big Data & Hadoop > Big Data >

Big Data on Amazon Web Services

Big Data on Amazon Web Services

This course contains an overview and demonstration of numerous components in the Amazon Web Services (AWS) Big Data Stack


Course Highlights

  • 4 Hours

  • 100% expert verified responses to ensure quality learning

  • Access quality courseware

  • Learning paths and courses authored by industry experts

Top Recruiters

7 Day Exchange Policy

Mode of learning: Offline self study

Course Overview

What are the course deliverables ?
  • Keep up with the pace of change with thousands of expert-led, in-depth courses.

  • Validate skill levels with assessments that take 5 minutes or less.

  • Certification practice exams icon

  • Guided learning

  • Measure progress towards business objectives and learning goals.

  • Hands-on learning

More about this course
  • This course provides a tour through Amazon Web Services' (AWS) Big Data stack components, namely DynamoDB, Elastic MapReduce (EMR), Redshift, Data Pipeline, and Jaspersoft BI on AWS. AWS Kinesis is also discussed. All steps for creating an AWS account, setting up a security key pair and working with AWS Simple Storage Service (S3) are covered as well. Numerous demos are provided, demonstrating interaction through AWS components via Web browser user interfaces, command line, and desktop tools.

I am Interested


    Enquire Now


    Average Rating

    Write a Review
    CompareRemove All
    Browse Category

    Buy Safely with
    We support secure payment methods


    While Naukri Learning services have helped many customers over the years, we do not guarantee any interview calls or assure any job offers with any of our services.
    The services associated with Naukri Learning are only provided through the website You are advised to be cautious of calls/emails asking for payment from other web sites that claim to offer similar services under the name of We have no associates/agents other than the partner sites that have been specifically named on the homepage of the website We also recommend that you Security Guidelines and Terms and Conditions