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
Introduction to Big Data Concepts introduces learners to the core ideas that define big data and shape today’s data-driven landscape. The module explores the Five V’s—volume, velocity, variety, veracity, and value—and demonstrates how each one influences technology choices, business opportunities,…
Cloud Computing for Big Data guides learners through the essential cloud concepts that power modern data processing, helping them understand how cloud models, deployment options, and platform capabilities support large-scale workloads. The module explores Infrastructure as a Service (IaaS), Platfor…
Microsoft Azure Platform for Big Data equips learners with the practical skills needed to work confidently within Microsoft’s cloud ecosystem for large-scale data solutions. The module introduces key Azure services, demonstrates how to navigate the Azure portal, and guides learners through creating…
Introduction to Azure Databricks and Clusters helps learners build a practical understanding of distributed computing and the core technologies that power large-scale data processing. The module introduces the principles of cluster computing, demonstrating how distributed systems allocate workloads…
Cost Management and Cloud Provider Comparisons gives learners the tools to understand, predict, and optimize the costs of big data workloads in the cloud. The module breaks down Azure’s pricing structures for compute, storage, and consumption-based models, while teaching learners how to estimate ex…
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