Big Data on Amazon web services (AWS) Cloud


 


Big Data on Amazon web services (AWS) Cloud
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.36 GB
Genre: eLearning Video | Duration: 36 lectures (7 hour, 8 mins) | Language: English


Learn about building out scalable, resilient Big Data solutions using various services on AWS cloud platform



What you'll learn

You will be able to understand the possibilities of Big Data on AWS
You will gain practical experience of how to use AWS and how to perform big data solutions on cloud.
Get a fair understanding of EMR,Athena and Elasticsearch


Requirements

This course does not presume that students have prior knowledge of AWS or its Big Data services.
Having a fair understanding of Java and SQL would help but it is not mandatory.

Description

This 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 Analytic 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

Who this course is for:

Big data aspirants
AWS enthusiasts
Software Developers and Architects
Analytics Professionals
Senior IT professionals
Testing and Mainframe Professionals
Data Management Professionals
Business Intelligence Professionals
Project Managers
Aspiring Data Scientists
Graduates looking to build a career in Big Data Analytics


 



Homepage: https://www.udemy.com/course/big-data-on-amazon-web-services-aws-cloud-2018/


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