Dive into a comprehensive tutorial series covering Hadoop, machine learning, and deep learning on the Azure cloud platform. Learn to navigate the Azure Portal Dashboard, create and manage virtual machines, understand virtual machine scale sets and availability, and monitor performance. Explore cost-saving techniques by deleting unused resources. Set up a Spark cluster with Jupyter Notebook integration, create a Hadoop cluster, and run Hive queries. Gain hands-on experience with Azure SQL Database, including table creation and data manipulation. Master the process of uploading CSV files to Hadoop using Azure HDInsight, create Hive jobs for data insertion, and utilize SQOOP commands to export flat files from HDFS to Azure SQL Database.
Hadoop, Machine & Deep Learning on Azure Cloud - Tutorial Series
Overview
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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Reviews
5.0 rating, based on 1 Class Central review
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The "Hadoop, Machine & Deep Learning on Azure Cloud - Tutorial Series" provides a hands-on introduction to big data technologies, machine learning, and Azure services. It covers Azure Virtual Machines, Hadoop clusters, Spark, and data integration with practical demonstrations. Ideal for intermediate learners, this free course helps build cloud-based data processing skills effectively.
