Data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

Creator: DataExpert-io
Stars ⭐️: 24.9k
Forked by: 4.9k

Github Repo:
https://github.com/DataExpert-io/data-engineer-handbook

#github

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗔𝗜 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘? 𝗛𝗲𝗿𝗲’𝘀 𝗛𝗼𝘄!😍

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Roadmap to Become DevOps Engineer 👨‍💻

📂 Linux Basics
 ∟📂 Scripting Skills
  ∟📂 CI/CD Tools
   ∟📂 Containerization
    ∟📂 Cloud Platforms
     ∟📂 Build Projects
      ∟ ✅ Apply For Job

𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗶𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 – 𝗗𝗼𝗻’𝘁 𝗠𝗶𝘀𝘀 𝗢𝘂𝘁!😍

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This is your chance to gain Ivy League knowledge without spending a dime!🤩

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/3FFFhPp
💡 Whether you’re a student, working professional, or just eager to learn—

This is your golden opportunity!✅️

You will be 18x better at Azure Data Engineering

If you cover these topics:

1. Azure Fundamentals
• Cloud Computing Basics
• Azure Global Infrastructure
• Azure Regions and Availability Zones
• Resource Groups and Management

2. Azure Storage Solutions
• Azure Blob Storage
• Azure Data Lake Storage (ADLS)
• Azure SQL Database
• Cosmos DB

3. Data Ingestion and Integration
• Azure Data Factory
• Azure Event Hubs
• Azure Stream Analytics
• Azure Logic Apps

4. Big Data Processing
• Azure Databricks
• Azure HDInsight
• Azure Synapse Analytics
• Spark on Azure

5. Serverless Compute
• Azure Functions
• Azure Logic Apps
• Azure App Services
• Durable Functions

6. Data Warehousing
• Azure Synapse Analytics (formerly SQL Data Warehouse)
• Dedicated SQL Pool vs. Serverless SQL Pool
• Data Marts
• PolyBase

7. Data Modeling
• Star Schema
• Snowflake Schema
• Slowly Changing Dimensions
• Data Partitioning Strategies

8. ETL and ELT Pipelines
• Extract, Transform, Load (ETL) Patterns
• Extract, Load, Transform (ELT) Patterns
• Azure Data Factory Pipelines
• Data Flow Activities

9. Data Security
• Azure Key Vault
• Role-Based Access Control (RBAC)
• Data Encryption (At Rest, In Transit)
• Managed Identities

10. Monitoring and Logging
• Azure Monitor
• Azure Log Analytics
• Azure Application Insights
• Metrics and Alerts

11. Scalability and Performance
• Vertical vs. Horizontal Scaling
• Load Balancers
• Autoscaling
• Caching with Azure Redis Cache

12. Cost Management
• Azure Cost Management and Billing
• Reserved Instances and Spot VMs
• Cost Optimization Strategies
• Pricing Calculators

13. Networking
• Virtual Networks (VNets)
• VPN Gateway
• ExpressRoute
• Azure Firewall and NSGs

14. CI/CD in Azure
• Azure DevOps Pipelines
• Infrastructure as Code (IaC) with ARM Templates
• GitHub Actions
• Terraform on Azure

Here, you can find Data Engineering Resources 👇
https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C

All the best 👍👍

𝟲 𝗙𝗥𝗘𝗘 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗮𝗿𝗲𝗲𝗿!😍

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20 recently asked 𝗞𝗔𝗙𝗞𝗔 interview questions.

- How do you create a topic in Kafka using the Confluent CLI?
- Explain the role of the Schema Registry in Kafka.
- How do you register a new schema in the Schema Registry?
- What is the importance of key-value messages in Kafka?
- Describe a scenario where using a random key for messages is beneficial.
- Provide an example where using a constant key for messages is necessary.
- Write a simple Kafka producer code that sends JSON messages to a topic.
- How do you serialize a custom object before sending it to a Kafka topic?
- Describe how you can handle serialization errors in Kafka producers.
- Write a Kafka consumer code that reads messages from a topic and deserializes them from JSON.
- How do you handle deserialization errors in Kafka consumers?
- Explain the process of deserializing messages into custom objects.
- What is a consumer group in Kafka, and why is it important?
- Describe a scenario where multiple consumer groups are used for a single topic.
- How does Kafka ensure load balancing among consumers in a group?
- How do you send JSON data to a Kafka topic and ensure it is properly serialized?
- Describe the process of consuming JSON data from a Kafka topic and converting it to a usable format.
- Explain how you can work with CSV data in Kafka, including serialization and deserialization.
- Write a Kafka producer code snippet that sends CSV data to a topic.
- Write a Kafka consumer code snippet that reads and processes CSV data from a topic.

Here, you can find Data Engineering Resources 👇
https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C

All the best 👍👍

ETL vs ELT

𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗼𝗳𝘁 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀!😍

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Soft skills are just as important as technical expertise! 🌟

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SQL is a must-have skill for data analysts! 🎯

This step-by-step roadmap will take you from beginner to advanced 📍

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