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- 82% Big Data on Amazon web services (AWS) Cloud

Big Data on Amazon web services (AWS)

$17.99Track price

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8.2/10 (Our Score)
Product is rated as #52 in category AWS

This Big Data on AWS course is primarily to simplify the use of Big data tools on AWS. With the unstoppable growth in the organizations moving towards data science and big data analytics there is a dearth need of trained professionals who are well versed with both Big data and AWS technologies. This course helps the learners get the best of both worlds (Big Data analytics and AWS Cloud)  and prepare for the future.   

We cover the following topics in this course:

Overview of Big Data on AWS

Big Data Storage  & databases on AWS

Big Data Analytics Frameworks using AWS EMR, Athena and Elasticsearch

Data Warehousing on AWS Redshift

Real–Time Big Data Analytics on AWS

Artificial Intelligence/Machine Learning

Business Intelligence on AWS

Big Data Computation on AWS

How does it all work together

Instructor Details

Learnsector, your one-stop solution for all your training needs. We're dedicated to giving you the best in class training in the space of Programming, Cyber Security, Cloud, Machine Learning, Analytics and Project Management. Our exclusive training helps you to acquire relevant skill set mandatory to grab thriving opportunities.We train you intensively to implement your technical skills in real-world scenario.We help you stay up-to-date with latest technologies and requirements of IT organizations across the world.

Specification: Big Data on Amazon web services (AWS)

Duration

7 hours

Year

2020

Level

Intermediate

Certificate

Yes

Quizzes

Yes

13 reviews for Big Data on Amazon web services (AWS)

2.6 out of 5
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  1. Bruno Pelegrini

    The dictation of the instructor is not easily understandable, and the audio is too low when she starts to talk, normalizing after few seconds, deserves only 3 stars until now.

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  2. Bradley Carrino

    I am on section 4… I looked past the mispronounciation of Athena [uh thee nuh] despite it being a common name from Greek mythology as a cultural difference. How can you be an AWS educator and not heard a presentation where somebody from AWS has presented on the topic of Kinesis [ki nee sis]?! Heck, you can go to dictionary.com and they will give you the pronounciation and audio on how to say it.

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  3. Luca Rodolfi

    the course is unprofessional, poorly structured, sometimes almost improvised, often difficult to understand the pronunciation of the teacher, it would have been better to pay more for a better quality.

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  4. Josh Hogan

    Examples don’t show all of the automation that I would need to set up. Many screens are fuzzy.

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  5. Dan Wities

    Both the content and delivery are pretty mundane

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  6. Vinay MN

    course was simple and easy to understand.

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  7. Diego Duque

    The course offers an extremely briefly overview about AWS. For a beginner it helps you to have a global vision of the service offered by AWS. The instructor english pronuntation makes difficult to follow the concepts. The video sometimes sounds pretty bad (noise, mobile sounds, etc).

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  8. Kesavan

    Well designed course with demos! Would be great if you can incorporate one case study implementation involving all the components mentioned in your tutorial. Thanks!

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  9. Anupam Priyadarshi

    Very poor course content and articulation.

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  10. Abiola Olowokere

    The code that is being used can be put into resources so we can copy and put into the platform

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  11. Freddy Hern n Sierra Benito

    Me encanta como explica tan claro mi profesora.

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  12. Natacha Sofia Mouco Morais

    I was highly interested on the course subjects, but the instructor stutters a lot which makes me think that she is not confident of what she is saying.

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  13. Ajay Kumar M

    Explanation about the tropic is not upto the mark and the services which she explained didn’t alert about the aws cost .I followed her practical now my billing has reached 1 lakh in aws.

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    Big Data on Amazon web services (AWS)
    Big Data on Amazon web services (AWS)

    $17.99

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