About this Course
This foundational course introduces learners to key concepts in big data, cloud computing principles, and Microsoft Azure technologies. Learners will understand the characteristics of big data, explore the big data ecosystem within Azure, and gain practical experience with key tools, including Azure services and Databricks. The course includes cost comparisons between major cloud providers and introduces key concepts in cluster computing. Course Learning Objectives By the end of this course, you will be able to: - Explain the fundamental concepts and characteristics of big data - Describe cloud computing principles and their relevance to big data solutions - Navigate and utilize the Microsoft Azure platform for big data workloads - Understand cluster computing concepts and implement basic Azure Databricks clusters - Compare costs across major cloud providers (Azure, AWS, GCP) for big data scenarios - Set up and configure basic resources in Azure for big data implementations
What You'll Learn
- Manage big data storage and pipelines with Azure services
- Process and analyze large datasets using Apache Spark and Databricks
- Explain fundamental big data concepts and characteristics
- Describe cloud computing principles relevant to big data
- Navigate and use Microsoft Azure for big data workloads
- Compare costs across major cloud providers
Prerequisites
- Basic familiarity with relevant concepts and terminology
- Readiness for hands-on practice via exercises or case studies
Instructors
Microsoft