Genre: eLearning | Language: English + .VTT | Duration: 3 hours | Size: 1.15 GB
What you'll learn
Provision your HdInsight Cluster on Azure and manage using Azure Powershell and Ambari
Build, design and deploy HDinsight Cluster on Azure.
Easily run popular open source frameworks—including Apache Hadoop, PIG, HIVE and Spark—using Azure HDInsight
With our exercise, you will have hand experience on what are things we can do in Azure.
Learn about storage accounts provided by Azure for the Hadoop.
Learn Spark along with Azure Data bricks
Effortlessly process massive amounts of data and get all the benefits of the broad open source ecosystem with the global scale of Azure.
Requirements
Course has been designed considering a basic understanding of computer programming. Hands on session / Labs along with the quiz for every topic will help you to learn more effectively.
To start with HDInsight you should have a free or paid subscription to Microsoft Azure
Understanding of Virtual Machine
Description
This course provides a brief introduction to help get started with Azure HDInsight with hands-on practice.It provides understanding of Microsoft Azure cloud computing and data engineering on it. It include Hadoop and big data ecosystem ranging from Hadoop to spark which would be covered in the subsequent detailed course series. The main purpose of the course is to give students the ability plan and implement big data workflows on HDInsight. The course will help you to Unleash the potential of big data using open source technologies like Hadoop, Hive, Pig, HBase, Spark, Data bricks and Datalake on the Microsoft Azure platform.
Who this course is for:
Hdinsight helps us to Easily run popular open source frameworks—including Apache Hadoop, Spark and Kafka—using Azure Cloud, It is a cost-effective, enterprise-grade service for open source analytics. Effortlessly process massive amounts of data and get all the benefits of the broad open source ecosystem with the global scale of Azure.
So anyone who is interested to learn and excel in Big Data should take this course.
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