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Mastering Azure Data Factory Real– World Projects With ADF

2-09-2025, 17:18, posted by Baturi

Free Download Mastering Azure Data Factory Real– World Projects With ADF
Published 8/2025
Created by Mallaiah Somula
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 42 Lectures ( 43h 22m ) | Size: 18.2 GB


Build Real-Time Data Pipelines with Azure Data Factory, SQL, REST. From Beginner to Expert: Real Projects That Build
What you'll learn
- Master Core ADF Components Understand linked services, datasets, pipelines, triggers, and integration runtimes through real-world use cases.
- Build Metadata-Driven Pipelines Automate dynamic data ingestion using Lookup, ForEach, and parameterized datasets.
- Integrate Diverse Data Sources Seamlessly connect to Azure SQL, PostgreSQL, Snowflake, REST APIs, and on-premise systems using SHIR.
- Implement Incremental Loads & CDC Design efficient pipelines using last processed values, tumbling window triggers, and change data capture (Insert, Update, D
- Optimize Performance & Concurrency Tune pipeline execution, manage concurrency, and clean up storage for cost-effective data engineering. - Design Event-Drive
- Design Event-Driven & Scheduled Workflows Trigger pipelines from emails, attachments, and blob events with multi-trigger dependencies.
- Transform Data with Data Flows Apply joins, pivots, unpivots, DQ checks, and Slowly Changing Dimensions (SCD1 & SCD2) using ADF Data Flows.
- Integrate ADF with Databricks & SQL Pools Schedule notebooks, create external tables, and build hybrid architectures for scalable analytics.
- Build Reusable Frameworks & Audit Systems Create centralized logging, reusable ingestion frameworks, and dynamic schema mapping for enterprise-grade solutions
Requirements
- No prior experience with Azure Data Factory required All concepts are explained step-by-step through hands-on, real-world projects.
- Basic understanding of data engineering is helpful but not mandatory Topics like ETL, data pipelines, and cloud storage are introduced and reinforced throughout the course.
- Familiarity with SQL is useful While basic SQL knowledge can help, key queries and procedures are demonstrated in the sessions.
- Introductory knowledge of Azure services is a plus Concepts like Azure Storage, Azure SQL, and resource groups are covered as needed.
- Access to an Azure account (free or paid) Recommended for practicing the hands-on labs, but not required to follow along.
Description
Are you tired of theoretical lectures and generic certification prep? This course is built for learners who want to master Azure Data Factory the way it's used in the real world—through hands-on projects, dynamic pipelines, and practical problem-solving.Led by CloudPandith (Mallaiah), a Senior Data Architect and individual trainer, this course walks you through 40+ real-time ADF scenarios—from ingesting data across SQL, REST APIs, Snowflake, and PostgreSQL, to building reusable frameworks, implementing incremental loads, and transforming data with Data Flows.Whether you're a beginner or a working professional, you'll learn how to design, automate, and optimize data pipelines using ADF's full feature set—including SHIR, triggers, Key Vault integration, CDC, and Databricks scheduling. Every session is built around real-world use cases, not textbook theory.What Makes This Course DifferentReal-time projects, not just demosMetadata-driven and reusable pipeline designIntegration with diverse sources: SQL, REST, Snowflake, Excel, On-PremAdvanced transformations: SCDs, DQ checks, pivots, joinsTriggering pipelines via events, schedules, and email attachmentsPerformance optimization and audit logging strategiesTaught by a practicing architect—not a generic instructorBy the end of this course, you'll be able to confidently build enterprise-grade data pipelines in Azure Data Factory, backed by practical experience and future-ready skills.
Who this course is for
- Aspiring Data Engineers Beginners looking to break into cloud data engineering with hands-on, project-based learning—no prior ADF experience required.
- Working Professionals & Analysts SQL developers, BI analysts, and ETL practitioners who want to upskill in Azure Data Factory and automate data workflows. - Cloud Engineers & Architects Those building scalable data solutions on Azure and seeking reusable frameworks, metadata-driven pipelines, and performance optimization. - Students & Career Switchers Learners who prefer real-world scenarios over theoretical lectures and want to build job-ready skills with confidence. - Anyone tired of generic training If you're looking for authentic, practical guidance from someone who teaches what they use professionally—this course is for you. Would you like a version of this tailored for your WhatsApp or YouTube audience too? I can make it more conversational and motivational to match your branding.
- Cloud Engineers & Architects Those building scalable data solutions on Azure and seeking reusable frameworks, metadata-driven pipelines, and performance optimization.
- Students & Career Switchers Learners who prefer real-world scenarios over theoretical lectures and want to build job-ready skills with confidence. - Anyone tired of generic training If you're looking for authentic, practical guidance from someone who teaches what they use professionally—this course is for you. Would you like a version of this tailored for your WhatsApp or YouTube audience too? I can make it more conversational and motivational to match your branding.
- Anyone tired of generic training If you're looking for authentic, practical guidance from someone who teaches what they use professionally—this course is for you.
Homepage
https://www.udemy.com/course/azuredatafactory67/



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