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-

Description

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)

• 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.

Course content

• AWS Analytics
  • analytics intro
  • athena
• Amazon S3: Adding data into bucket
  • AWS S3
  • Overview of Athena SQL Editor and many more option
• DML Statements (Select,Insert,Update,etc)
  • Athena : Create Database
  • Athena : Bulk Add Column
  • SELECT Statement
  • GroupBy Statement
• DDL Statements(Create,Drop,Alter,etc)
  • CREATE Statement
  • ALTER, ORDER By and ALTER Statement
  • DROP Statement
• Cloudsearch
  • cloudsearch theory
  • cs1
• Streaming Analysis
  • stream analytics 1
  • stream analytics 2
  • stream analytics 3
  • stream analytics 4
  • stream analytics 5
  • stream analytics 6
• Azure HDInsight
  • Data Analytics
  • HDInsight 1
  • HDInsight 2
  • HDInsight 3- Spark
  • HDInsight 4- Jupyter
  • HDInsight 5- Zappelin