Introduction to Hadoop basics in 30 mins
Why take this course?
🎓 Introduction to Hadoop Basics in 30 Minutes: A Quick Guide for Beginners
Important Note: This module is designed as an introductory piece for absolute beginners who wish to gain a foundational understanding of Hadoop before diving into the Azure Synapse SQL Data Warehouse course. It is not suitable for those with prior experience in this technology or for those seeking intermediate or advanced concepts, or practical examples/demos.
Who is this module for? ✅ Beginners: If you're looking to understand the basic fundamental concepts of Hadoop as a crash course to accelerate your learning in Azure HDInsight, this is the right place for you.
Who should skip this module? ❌ If you're already experienced with Hadoop or its technologies, or if you're looking for intermediate/advanced concepts or practical examples/demos, please consider unenrolling from this module. This content is specifically tailored for beginners.
🌟 This module is a free resource intended to help others get started on their learning journey. If you're not in the target audience, I invite you to take advantage of this offer and explore the course without any commitment.
Where can I find a full-length course? Simply look at the bonus lecture included at the end of this module for details on where to find the complete course offering.
What will students learn in this course?
- Hadoop Basic Concepts: This crash course is designed to provide a quick yet comprehensive overview of Hadoop's fundamental concepts, particularly useful as a foundation for working with Azure HDInsight.
Level:
- Beginners only. This course assumes no prior knowledge of Hadoop.
Language:
- The course is delivered in English. If you're not comfortable with English, I recommend waiting until you are or seeking out resources in your preferred language, as captions alone may not suffice for understanding the course material.
Target Students:
- Database and BI developers,
- College students studying data science or related fields,
- Anyone interested in starting to learn about Big Data.
Prerequisites:
- Basic Database concepts are required for this course.
Course In Detail: Data Warehouse Crash Course In this module, we will cover the following key aspects of Hadoop and its ecosystem:
- Shortcomings of Monolithic Systems: Understanding what limitations traditional database systems face.
- Distributed Systems vs. Monolithic Systems: The differences and advantages of a distributed computing approach.
- Fundamental Understanding of Hadoop: How Hadoop differs from RDBMS and why it's important in Big Data scenarios.
- Hadoop Components: A deep dive into the three main components of Hadoop:
- HDFS (Hadoop Distributed File System): The storage system that allows for processing of large data sets in a reliable, scalable manner.
- MapReduce: The programming model designed to handle parallel processing of large data sets across the Hadoop cluster.
- YARN (Yet Another Resource Negotiator): The resource management platform for cluster-level resource management.
[Tags] This module is closely associated with Microsoft SQL Server, Azure SQL Server, Azure SQL Data Warehouse, Data Factory, Data Lake, Azure Storage, Azure Synapse Analytics Service (formerly Azure HDInsight), PolyBase, Azure monitoring, and Azure Security. Concepts related to Data Warehousing, SSIS (SQL Server Integration Services), and more are also covered.
Enroll now and take the first step towards understanding Hadoop and its role in Big Data analytics with Azure services! 🚀💻
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