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YouTube

Hadoop, Machine & Deep Learning on Azure Cloud - Tutorial Series

The AI University via YouTube

Overview

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This course aims to teach learners how to work with Hadoop, Machine Learning, and Deep Learning on the Azure Cloud platform. By the end of the course, students will be able to create and manage Azure Virtual Machines, deploy Spark and Hadoop clusters, run Hive queries, work with Azure SQL databases, and utilize SQOOP commands for data export. The teaching method includes hands-on tutorials and demonstrations. This course is intended for individuals interested in learning about big data technologies, cloud computing, and data analytics on the Azure platform.

Syllabus

Microsoft Azure Handson Tutorial Series.
Best Explanation of Azure Portal Dashboard.
Azure Virtual Machine Primer.
Handson steps to Create Microsoft Azure Virtual Machine Demo - Part 1.
Handson steps to Create Microsoft Azure Virtual Machine Demo - Part 2.
Azure Virtual Machine Scale Set Primer.
Microsoft Azure Virtual Machines Availability explained.
What is Performance Monitoring of Virtual Machines | Azure VM Performance Monitoring.
How to Delete Resources on Microsoft Azure? | Save Resource Cost.
Deploy Spark Cluster and enable Jupyter Notebook on Azure.
Create Hadoop Cluster and run Hive query.
12.Create Azure SQL Database and Table.
13. Upload csv file from local system to Hadoop | Azure HDInsight.
14.Create Hive Job to Insert data from csv file to Hive Table | Azure.
15. SQOOP command to export flat file from HDFS to Azure SQL Database.

Taught by

The AI University

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