Industry Growth

AWS grew 34% in the fourth quarter of 2019, reflecting a downward trend in growth that began in 2018. Currently, AWS accounts for a third of the $107 billion global cloud market last year.

Salary Range

Professionals with 6-14 years of experience can make a maximum of Rs. 1,800,000 per annum, while those with more than 15 years of experience have a chance to cross the 3,000,000 year mark.

Hiring Companies

Amazon, DXC Technology, IBM India, Accenture, Capgemini, Sandisk, Microsoft

Overview

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 for trained professionals who are well versed with both Big data and AWS technologies. This course covers Amazon’s AWS cloud platform, Kinesis Analytics, AWS big data storage, processing, analysis, visualization and security services, machine learning algorithms, and much more. This course helps the learners get the best of both worlds (Big Data analytics and AWS Cloud) and prepare for the future.

What you will learn?

Fit AWS solutions inside a Big Data ecosystem
Leverage Apache Hadoop in the context of Amazon EMR
Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster
Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming
Improve the ease of use of Amazon EMR by using Hadoop User Experience (Hue)
Use in-memory analytics with Apache Spark on Amazon EMR
Choose appropriate AWS data storage options
Identify the benefits of using Amazon Kinesis for near real-time Big Data processing
Leverage Amazon Redshift to efficiently store and analyze data
Comprehend and manage costs and security for a Big Data solution
Identify options for ingesting, transferring, and compressing data
Leverage Amazon Athena for ad-hoc query analytics
Use AWS Glue to automate extract, transform, and load (ETL) workloads
Use visualization software to depict data and queries using Amazon QuickSight

Pricing

Pre-requisites

A minimum of 2 years of experience using AWS. A minimum of 5 years of experience in a data analytics field.

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