Course Overview

Mindmajix AWS Data Warehousing Training makes you an expert in building the applications by leveraging capabilities of Data collection from various sources, Consoles and commands related to bug management, Various analysis methods and their usefulness.This course also demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR and etc. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data. The training is best in every aspect and has a lot to learn for the freshers.

AWS Data Warehousing Training Course Content

AWS Data Warehouse course content at Mindmajix is developed by industry experts. Find the complete AWS Data Warehouse training course details below:

 

Introduction to Data reporting

Various analysis methods and their usefulness

Data errors and how to handle them

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Projects

To test your knowledge on AWS Data Warehousing Training, you will be required to work on two industry-based projects that discuss significant real-time use cases. This will also ensure hands-on expertise in AWS Data Warehousing Training and Certification Course concepts

    career info

    The Avg. Salary for AWS Data Warehousing professional is around $95,000 PA.

    For Individuals

    Choose your own comfortable learning experience.

    Self-Paced Training

    • Complete set of videos similar to live online sessions
    • Learn technology at your own pace.
    • Get access for lifetime.
    • Latest version AWS Data Warehousing Training videos guaranteed.

    1. Introduction to Data reporting

    2. Various analysis methods and their usefulness



    Live Virtual Training

    • Live demonstration of features and practicals.
    • Schedule your sessions at your comfortable timings.
    • Instructor led training with practical lab sessions.
    • Real time projects and certification guidance.

    Includes everything in Self-paced training

    Live Training
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    Upcoming Batches

    Duration: 30 hrs

    Batch

    Start - End

    Time

    Weekend

    Jun 26 - Jul 11

    07:30 PM EST

    Weekdays

    Jun 30 - Jul 15

    07:30 PM EST

    Weekend

    Jul 03 - Jul 18

    07:30 PM EST

    Weekdays

    Jul 07 - Jul 22

    07:30 PM EST


    For Business

    Be ready with the skills before the industry adopts the technology.

    Corporate Training

    • Choose mode that best suits your convenience, time, and budget from Self-Paced, Live Instructor-led Online, or Classroom modes
    • Engage in complete practical demonstration, discussions,and exercises based on practical use cases
    • Have a schedule that is convenient as per your work schedule and time zone
    • Gain industry insights during the training delivered by insdustry experts
    • Customize the course scope as per your project requirements
    • Gain complete guidance on obtaining a certification

    Contact us

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    Career transition program

    Your intent to master next level skills are appreciated

    We take pride in being part of 4 lakh plus career transitions worldwide

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    Course Reviews

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    I got the job, thank you mindmajix you are the only reason for that, your extremely knowledgeable sessions that gave me immense knowledge

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    AWS Data Warehousing Training FAQs

    Do I get any discount on the course?

    Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.

    Do Mindmajix accepts the course fees in installments?

    Yes, we accept payments in two installments.

    How Mindmajix’s Refund Policy works?

    If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.

    Do you have any Queries?Let us know

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