Big Data Analytics with AWS and Microsoft Azure
HDInsight | Spark | Jupyter | Zappelin | Stream Analytics | Athena | CloudSearch
Updated on Apr, 2024
Language - English
Lectures -28
Duration -2 hours
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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)
Goals
What will you learn in this course:
- 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
Prerequisites
What are the prerequisites for this course?
- A basic understanding of Data Analytics concepts would be more than sufficient, however it is not required to begin with this course.
Curriculum
Check out the detailed breakdown of what’s inside the course
AWS Analytics
2 Lectures
-
Analytics intro
04:14
04:14
-
Athena
05:54
05:54
Amazon S3: Adding data into bucket
2 Lectures
DML Statements (Select,Insert,Update,etc)
4 Lectures
DDL Statements(Create,Drop,Alter,etc)
3 Lectures
Cloudsearch
4 Lectures
Streaming Analysis
6 Lectures
Azure HDInsight
6 Lectures
Instructor Details
Pranjal Srivastava
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