Hadoop and Azure HDInsight Online Course
Hadoop and Azure HDInsight Online Course
This course provides a practical and easy-to-follow introduction to Hadoop and Azure HDInsight, helping learners understand how big data is processed in the cloud. It covers the core concepts of Hadoop, its challenges, and how Azure HDInsight makes it easier to use. You will also gain hands-on experience in setting up HDInsight clusters, extracting and transforming data using Hive, and storing the processed data in SQL Server. By the end of this course, you will be equipped with the knowledge to work with big data in the Azure cloud.
Key Benefits
- A concise yet practical course that provides hands-on experience with Hadoop and HDInsight
- Helps learners understand the fundamentals of big data processing in the cloud
- Includes real-world demonstrations on working with Azure HDInsight
- Teaches how to extract, process, and store data efficiently
- All necessary resource files are provided for a smooth learning experience
Target Audience
- Beginners who want to learn big data processing on Microsoft Azure
- IT professionals looking to transition into Azure Data Engineering
- Data Analysts, Database Administrators, and BI Developers working with large datasets
- Data Scientists who want to integrate Hadoop with cloud-based environments
- Professionals experienced in on-premises databases who want to learn cloud-based Hadoop solutions
Learning Objectives
- Understand Hadoop’s role in big data processing
- Learn how Azure HDInsight simplifies Hadoop management
- Set up and configure Azure HDInsight clusters
- Use Hive for data extraction, transformation, and processing
- Store and manage processed data in SQL Server
- Gain hands-on experience with Azure Data Lake and cloud data management
Course Outline
The Hadoop and Azure HDInsight Exam covers the following topics -
Module 1 - Introduction to the Course
- Overview of what you will learn in this course
Module 2 - Getting Started with Azure Cloud Computing
- Setting up a free Azure subscription
- Introduction to Azure’s portal and its features
- Understanding Azure services and their applications
- Managing Azure resources, subscriptions, and groups
- Organizing resources effectively with tags
- Deleting unused resources and setting budget limits
Module 3 - Fundamentals of Hadoop
- Introduction to the Hadoop framework
- Why large-scale data requires distributed computing
- Comparing different methods of building computing systems
- Understanding the purpose and structure of Hadoop
- Differences between Hadoop and traditional relational databases
- Summary of Hadoop’s strengths in handling big data
Module 4 - Understanding Azure HDInsight
- Why traditional Hadoop implementations are challenging
- How Azure HDInsight simplifies Hadoop setup and usage
- Key features and benefits of HDInsight
- Different types of clusters available in HDInsight
- Breakdown of HDInsight’s architecture and functionality
Module 5 - Hands-On HDInsight Demonstration
- Overview of the practical exercises in this course
- Creating Azure Data Lake Storage Gen2 for storing raw data and setting up SQL Server for output storage
- Understanding Managed Identity and how it enhances security
- Assigning Managed Identity to Gen2 storage and database accounts
- Setting up an HDInsight Interactive Query Cluster
- Introduction to Ambari UI for managing Hadoop clusters
- Uploading and organizing data in Azure Data Lake Storage
- Using Hive to extract data from the data lake
- Performing data transformation tasks with Hive queries
- Exporting processed data from HDInsight to SQL Server using Sqoop
- Wrapping up the demonstration and summarizing key takeaways
