What you'll learn

Confidently work with various Big Data Analytics services available on Amazon AWS and Microsoft Azure cloud

Develop skills on HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics

Move and transform massive data streams with Athena

Requirements

A basic understanding of Data Analytics concepts would be more than sufficient, however it is not required to begin with this course.

Description

This course is all about learning various cloud Analytics options available on Microsoft AZURE and AWS cloud platforms. We will explore following Data Analytics services-

HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics, Athena and Cloudsearch.

We would be creating resources for Stream Analytics, Spark, HDInsight exploring options. We would be learning all the Analytics services with some use cases.

Analytics plays very important role in the world of big data. There is no use of big data if we can not extract proper or meaningful insights from that. In short more data means better analysis, better analysis means better decision which makes organisation profitable.

AWS Analytics tools like

Amazon Athena (Querying data instantly and get results in seconds)

Amazon CloudSearch (Makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application)

Who this course is for:

Anyone who would be interested to learn Cloud Computing with Microsoft Azure.

Would be interested in learning various Big Data Analytics services and options available on Microsoft Azure.

Want to make a career in Cloud Computing and Data Analytics.

Homepage:

https://www.udemy.com/course/big-data-analytics-with-aws-and-microsoft-azure/