Course: Databricks - Master Azure Databricks for Data Engineers
Here is the requested composition followed by the structured lecture sheet in semantic HTML. Composition (12–15 sentences) Cloud computing lets organizations access scalable compute and storage resources over the internet, and Microsoft Azure is a leading platform in this space. Before you start with hands-on work, it is important to understand core services like Azure Virtual Machines, Azure Functions, and Azure Storage. Azure Virtual Machines provide on-demand, configurable servers that let you run full operating systems and legacy applications without investing in physical hardware. Azure Functions represents serverless computing, enabling event-driven code execution that scales automatically and reduces operational overhead. Cloud storage in Azure—such as Blob, File, and Table Storage—offers options for unstructured files, shared file systems, and NoSQL data. Knowing when to use VMs versus serverless functions and choosing the right storage type helps you design cost-effective and maintainable architectures. Security, networking, and access controls are foundational topics to master before experimenting with resources in a live subscription. Practicing with a free Azure account or sandbox ensures you can learn without risking production environments. Familiarity with the Azure portal, resource groups, and role-based access control (RBAC) improves your ability to manage and audit resources. Start with small, reproducible labs: create a VM, deploy a simple function, and store files in Blob Storage. These exercises build confidence and reveal patterns for scaling and automation. Understanding these basics gives you the vocabulary to read documentation, follow tutorials, and troubleshoot issues. With this foundation, you can proceed to data engineering, Databricks, and Delta Lake topics that rely on these platform fundamentals. Structured Lecture Sheet (semantic HTML)Lesson
Topic: Before You Start — Foundations of Microsoft Azure: Virtual Machines, Functions, and Storage
Learning Outcomes
- Identify the role of Azure Virtual Machines, Azure Functions, and Azure Storage in cloud solutions.
- Explain when to use IaaS (VMs) vs serverless (Functions) and select appropriate storage types.
- Demonstrate safe, low-cost ways to begin hands-on practice (free account, sandbox, resource groups).
- Apply basic security and governance practices: RBAC, resource groups, and network controls.
Answer
The learning outcomes prepare students to choose the right compute model and storage option, to start practical exercises safely, and to follow fundamental security practices when using Azure resources.
Conceptual Explanation
Azure Virtual Machines (VMs) are Infrastructure as a Service (IaaS) offerings that provide full OS control and are suitable when you need reproducible server environments or must run legacy workloads. Azure Functions are a serverless Platform as a Service (PaaS) option for event-driven small units of logic that scale automatically and reduce operational burden. Azure Storage includes Blob Storage for unstructured objects, File Storage for SMB shares, and Table or Queue Storage for NoSQL and messaging patterns. Designing a cloud solution begins with matching workload characteristics to compute and storage capabilities, then adding security, networking (VNets, subnets, NSGs), and monitoring. Start simple: provision a VM for a reproducible dev environment, create a Function to react to Blob uploads, and store data in Blob Storage. Use resource groups to group related resources and apply role-based access control (RBAC) to limit permissions. Finally, monitor cost and performance and iterate on your design.
Answer
In practice, VMs are for full control and complex dependencies, Functions for event-driven logic and microtasks, and Storage for persistent data. Combine them with governance and monitoring to build resilient systems.
Bilingual (EN → বাংলা)
English: Azure Virtual Machines give you full server control, Azure Functions run code in response to events without managing servers, and Azure Storage holds files and structured or unstructured data. Learn the basics before you deploy production workloads.
বাংলা (Bangla): Azure Virtual Machines আপনাকে সম্পূর্ণ সার্ভার নিয়ন্ত্রণ দেয়, Azure Functions ইভেন্টের প্রতিক্রিয়ায় কোড চালায় সার্ভার ব্যবস্থাপনা ছাড়া, এবং Azure Storage ফাইল ও গঠনযুক্ত/অগঠনযুক্ত ডেটা ধরে রাখে। প্রোডাকশন কাজ শুরু করার আগে এই মৌলিক বিষয়গুলো শিখুন।
Answer
This bilingual note helps native Bengali speakers map core Azure concepts to their local language for clearer understanding.
Important Notes
- Always start in a sandbox or free subscription to avoid unexpected billing.
- Use resource groups and naming conventions for manageability and billing clarity.
- Enable multi-factor authentication (MFA) and use managed identities rather than embedding credentials.
- Monitor costs with budgets and alerts in the Azure Portal.
Answer
These operational practices reduce security risk and cost surprises while you learn and experiment.
Exercises
True / False
| Statement | Answer |
|---|---|
| Azure Functions always require you to manage the underlying VM. |
AnswerFalse — Functions are serverless; Azure manages the infrastructure. |
| Blob Storage is suitable for storing large unstructured objects like videos. |
AnswerTrue — Blob Storage is designed for unstructured data and large objects. |
Fill in the Blanks
- Azure VM is an example of ______ (IaaS / PaaS).
- To respond automatically when a file is uploaded to Blob Storage, you can use ______ (Azure Function / VM).
Answer
Answer: IaaS
Answer
Answer: Azure Function
Multiple Choice Questions (MCQ)
- Which storage type is best for shared file access via SMB?
- A. Blob Storage
- B. File Storage
- C. Table Storage
Answer
Answer: B. File Storage
- Which service is ideal for long-running virtualized workloads?
- A. Azure Functions
- B. Azure Virtual Machines
- C. Event Hubs
Answer
Answer: B. Azure Virtual Machines
Matching
| Service | Typical Use |
|---|---|
| Azure Functions |
AnswerEvent-driven microtasks, automated triggers. |
| Blob Storage |
AnswerStoring binary and unstructured data like images, backups, and logs. |
| Virtual Machines |
AnswerFull OS control and custom runtime environments. |
Descriptive
Describe the steps to create a basic Azure Function that triggers on a Blob upload and writes metadata to Table Storage.
Answer
- Create a storage account with Blob and Table containers.
- Create a Function App in the Azure Portal and choose the runtime stack.
- Create a new Function using the Blob trigger template and point it at the target container.
- In the function code, parse the blob metadata and write a row to Table Storage using the Azure SDK or bindings.
- Deploy and test by uploading a blob and verifying the Table entry.
Creative
Design a minimal architecture diagram (textual) for a photo-upload app that automatically creates thumbnails and stores metadata. List the Azure services used and the data flow in sentences.
Answer
Services: Blob Storage (original photos + thumbnails), Azure Function (trigger on blob upload, generate thumbnail), Azure Table Storage (store metadata), Azure CDN (serve thumbnails), Azure AD (authentication).
Data flow: User uploads photo → Photo saved to Blob Storage → Blob upload triggers Azure Function → Function creates thumbnail and writes both files to Blob Storage and saves metadata to Table Storage → CDN serves thumbnail to users via public endpoint.
Activities
- Hands-on lab: Create a free Azure account, provision a small Linux VM, deploy a sample web server, and stop/start the VM.
- Function lab: Implement an Azure Function that triggers on Blob upload and logs Filename + Size to Table Storage.
Answer
Follow step-by-step guides in the Azure Portal; use resource tagging and set a budget alert to avoid unexpected costs.
Vocabulary
IaaS Infrastructure as a Service — full VM control and infrastructure management. PaaS Platform as a Service — managed runtimes such as Azure Functions or App Service. Blob Storage Object storage for unstructured data. RBAC Role-Based Access Control for managing permissions.Answer
Understanding these terms helps you choose the right platform and security model for each workload.
Homework
- Sign up for Azure free account and create one resource group named "az-course-rg".
- Deploy a VM (small size) named "lab-vm", SSH into it and create a file /home/azureuser/hello.txt containing your name.
- Create a storage account and upload one file to a blob container named "uploads".
Answer
Submit screenshots: the resource group in portal, SSH session showing the file, and the blob upload confirmation.
Practice Task
Implement a small automation script (CLI or PowerShell) that starts a VM, waits until it is running, and then stops it. Run it in your sandbox subscription and report the runtime.
Answer
Example (Azure CLI): az vm start --resource-group az-course-rg --name lab-vm; az vm wait --created --resource-group az-course-rg --name lab-vm; az vm stop --resource-group az-course-rg --name lab-vm
Further resources:
| Resource | Purpose |
|---|---|
| Microsoft Learn – Azure | Guided modules and free labs |
| Azure Functions docs | Function templates and triggers |
| Azure Blob Storage docs | Storage patterns and pricing |
Answer
Use these official docs for step-by-step instructions, code samples, and best practices.