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Data Engineering Projects (1+2+3) Combo

"Unleash Your Data Expertise: Dive Into Three Exciting Data Engineering Projects!"

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layers 3 Courses

Language: English

Enrolled Learners: 69

Validity Period: Lifetime

$115 32% OFF

$78

Description:

This comprehensive course provides hands-on experience in building real-time projects on Microsoft Azure. You'll learn to integrate Azure Data Factory (ADF), Azure Databricks (DBX), Azure Role-Based Access Control (RBAC), Unity Catalog, Incremental Load, Azure Logic App, and Continuous Integration and Continuous Deployment (CI/CD) pipelines. Additionally, you'll gain skills to implement real-time data streaming projects using Kafka, Spark, Databricks, and Azure.

Key Highlights:

Build real-time projects on Microsoft Azure
Hands-on experience with Kafka, Spark, Databricks, and Azure
Integrate Azure Data Factory, Azure Databricks, and Azure Role-Based Access Control
Implement Continuous Integration and Continuous Deployment pipelines
Develop real-time data pipelines for streaming data processing
Scalable and efficient project implementation
What You Will Learn:

Understand the fundamentals of Azure Data Factory (ADF)
Create and configure pipelines, datasets, and data flows using ADF
Integrate Azure Databricks (DBX) with Azure Data Factory
Build scalable data processing solutions with DBX and ADF integration
Implement Azure Role-Based Access Control (RBAC) for secure data handling
Manage roles, permissions, and access policies to maintain data security
Explore Unity Catalog and Azure Logic App capabilities for data processing
Apply Continuous Integration and Continuous Deployment (CI/CD) pipelines
Automate deployment processes for continuous project delivery
Establish necessary infrastructure for project development
Set up Confluent Kafka on a cloud platform
Perform data cleaning, modeling, and transformations
Utilize Azure DevOps for version control
Manage sprints and track development progress on the ADO board
Handle bug tracking and resolution throughout the SDLC
Develop ADF pipelines for batch or full data loads
Manage near real-time streaming data using Databricks Autoloader and Delta Live Tables (DLT)
Implement metadata-driven ETL pipelines
Configure logging, email alerting, and error log monitoring
Deploy the project to a production environment
Gain functional knowledge in the banking,telecom,fmcg domain

This course equips you with the skills and knowledge to build, integrate, and manage real-time data streaming and Azure projects efficiently.

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