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Roadmap to Become DevOps Engineer ๐จโ๐ป
๐ Linux Basics
โโ๐ Scripting Skills
โโโ๐ CI/CD Tools
โโโโ๐ Containerization
โโโโโ๐ Cloud Platforms
โโโโโโ๐ Build Projects
โโโโโโโ โ Apply For Job
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โโ๐ Scripting Skills
โโโ๐ CI/CD Tools
โโโโ๐ Containerization
โโโโโ๐ Cloud Platforms
โโโโโโ๐ Build Projects
โโโโโโโ โ Apply For Job
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You will be 18x better at Azure Data Engineering
If you cover these topics:
1. Azure Fundamentals
โข Cloud Computing Basics
โข Azure Global Infrastructure
โข Azure Regions and Availability Zones
โข Resource Groups and Management
2. Azure Storage Solutions
โข Azure Blob Storage
โข Azure Data Lake Storage (ADLS)
โข Azure SQL Database
โข Cosmos DB
3. Data Ingestion and Integration
โข Azure Data Factory
โข Azure Event Hubs
โข Azure Stream Analytics
โข Azure Logic Apps
4. Big Data Processing
โข Azure Databricks
โข Azure HDInsight
โข Azure Synapse Analytics
โข Spark on Azure
5. Serverless Compute
โข Azure Functions
โข Azure Logic Apps
โข Azure App Services
โข Durable Functions
6. Data Warehousing
โข Azure Synapse Analytics (formerly SQL Data Warehouse)
โข Dedicated SQL Pool vs. Serverless SQL Pool
โข Data Marts
โข PolyBase
7. Data Modeling
โข Star Schema
โข Snowflake Schema
โข Slowly Changing Dimensions
โข Data Partitioning Strategies
8. ETL and ELT Pipelines
โข Extract, Transform, Load (ETL) Patterns
โข Extract, Load, Transform (ELT) Patterns
โข Azure Data Factory Pipelines
โข Data Flow Activities
9. Data Security
โข Azure Key Vault
โข Role-Based Access Control (RBAC)
โข Data Encryption (At Rest, In Transit)
โข Managed Identities
10. Monitoring and Logging
โข Azure Monitor
โข Azure Log Analytics
โข Azure Application Insights
โข Metrics and Alerts
11. Scalability and Performance
โข Vertical vs. Horizontal Scaling
โข Load Balancers
โข Autoscaling
โข Caching with Azure Redis Cache
12. Cost Management
โข Azure Cost Management and Billing
โข Reserved Instances and Spot VMs
โข Cost Optimization Strategies
โข Pricing Calculators
13. Networking
โข Virtual Networks (VNets)
โข VPN Gateway
โข ExpressRoute
โข Azure Firewall and NSGs
14. CI/CD in Azure
โข Azure DevOps Pipelines
โข Infrastructure as Code (IaC) with ARM Templates
โข GitHub Actions
โข Terraform on Azure
Here, you can find Data Engineering Resources ๐
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All the best ๐๐
If you cover these topics:
1. Azure Fundamentals
โข Cloud Computing Basics
โข Azure Global Infrastructure
โข Azure Regions and Availability Zones
โข Resource Groups and Management
2. Azure Storage Solutions
โข Azure Blob Storage
โข Azure Data Lake Storage (ADLS)
โข Azure SQL Database
โข Cosmos DB
3. Data Ingestion and Integration
โข Azure Data Factory
โข Azure Event Hubs
โข Azure Stream Analytics
โข Azure Logic Apps
4. Big Data Processing
โข Azure Databricks
โข Azure HDInsight
โข Azure Synapse Analytics
โข Spark on Azure
5. Serverless Compute
โข Azure Functions
โข Azure Logic Apps
โข Azure App Services
โข Durable Functions
6. Data Warehousing
โข Azure Synapse Analytics (formerly SQL Data Warehouse)
โข Dedicated SQL Pool vs. Serverless SQL Pool
โข Data Marts
โข PolyBase
7. Data Modeling
โข Star Schema
โข Snowflake Schema
โข Slowly Changing Dimensions
โข Data Partitioning Strategies
8. ETL and ELT Pipelines
โข Extract, Transform, Load (ETL) Patterns
โข Extract, Load, Transform (ELT) Patterns
โข Azure Data Factory Pipelines
โข Data Flow Activities
9. Data Security
โข Azure Key Vault
โข Role-Based Access Control (RBAC)
โข Data Encryption (At Rest, In Transit)
โข Managed Identities
10. Monitoring and Logging
โข Azure Monitor
โข Azure Log Analytics
โข Azure Application Insights
โข Metrics and Alerts
11. Scalability and Performance
โข Vertical vs. Horizontal Scaling
โข Load Balancers
โข Autoscaling
โข Caching with Azure Redis Cache
12. Cost Management
โข Azure Cost Management and Billing
โข Reserved Instances and Spot VMs
โข Cost Optimization Strategies
โข Pricing Calculators
13. Networking
โข Virtual Networks (VNets)
โข VPN Gateway
โข ExpressRoute
โข Azure Firewall and NSGs
14. CI/CD in Azure
โข Azure DevOps Pipelines
โข Infrastructure as Code (IaC) with ARM Templates
โข GitHub Actions
โข Terraform on Azure
Here, you can find Data Engineering Resources ๐
https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C
All the best ๐๐
๐4โค1
๐ฒ ๐๐ฅ๐๐ ๐ฌ๐ผ๐๐ง๐๐ฏ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ผ ๐๐ถ๐ฐ๐ธ๐๐๐ฎ๐ฟ๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ!๐
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These 6 FREE courses cover everythingโfrom Excel, SQL, Python, and Power BI to Business Math & Statistics and Portfolio Projects! ๐
๐๐ข๐ง๐ค๐:-
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20 recently asked ๐๐๐๐๐ 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 ๐
https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C
All the best ๐๐
- 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 ๐
https://whatsapp.com/channel/0029Vaovs0ZKbYMKXvKRYi3C
All the best ๐๐
๐2
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Want to stand out in your career?
Soft skills are just as important as technical expertise! ๐
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๐ ๐ฎ๐๐๐ฒ๐ฟ ๐ฆ๐ค๐ ๐ณ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ถ๐ป ๐๐๐๐ ๐ญ๐ฐ ๐๐ฎ๐๐!๐
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Want to become a SQL pro in just 2 weeks?
SQL is a must-have skill for data analysts! ๐ฏ
This step-by-step roadmap will take you from beginner to advanced ๐
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