Azure Data Factory Certification Training Course in Gurgaon
Orchestrating ETL pipelines using Azure Data Factory (ADF) for scheduling and monitoring data pipelines (ETL/ELT pipelines) using ADF Flows. Azure Data Factory (ADF) help Data engineers to schedule & monitor ETL workflows & manage ETL job dependencies using the pipeline also it helps to hydrate/ingest data from various data sources using the pre-built connectors available. ADF pipelines are scalable & also handles pipeline failure effectively using pipeline monitoring tools.
- Develop Pipeline scripts/templates to orchestrate Data Pipelines provisioning using Azure Data Factory (ADF) flows.
- Training program will provide interactive sessions with industry professionals
- Realtime project expereince to crack job interviews
- Course Duration - 3 months
- Get training from Industry Professionals
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
24/7 Q&A support designed to address training needs
Azure Data Factory Certification Training Course Overview
Azure Data Factory (ADF) enables data engineers to orchestrate and automate ETL/ELT pipelines using ADF flows for scheduling, monitoring, and dependency management. With scalable pipelines, built-in monitoring, and rich pre-built connectors, ADF simplifies data ingestion from multiple sources and handles failures efficiently. Build your data career with an ADF Engineer certification course aligned with industry needs for ETL automation and intelligent scheduling using platforms like ADF, Airflow, Control-M, and Apache Oozie, helping organizations improve decision-making and drive business growth.
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Orchestrating ETL pipelines using Azure Data Factory (ADF) for scheduling and monitoring data pipelines (ETL/ELT pipelines) using ADF Flows
- Real-World industry scenarios with projects implementation support
- Live Virtual classes heading by top industry experts alogn with project implementation
- Q&A support sessions
- Job Interview preparation & use cases
Explain ADF Engineers?
ADF Engineers automate Orchestrate ETL pipelines using ADF workflows. ADF also helps data engineers to schedule & monitor ETL workflows & manage ETL job dependencies using pipeline Orchestrator. It also helps to hydrate/ingest data from various data sources using the pre-built connectors available.
Role of ADF Engineer?
ADF Engineers automate automate Orchestrate ETL pipelines using ADF templates.
Responsibilities include:
- ADF engineers use Visual Studio & others IDE’s to write ADF Flows to automate ETL pipelines.
- ADF Engineers manages the end-to-end Data orchestration life cycle using ADF workflows.
- Develop and Design ADF workflows that automate ETL (GLUE/PySpark/Databricks) job pipelines securely & seamlessly
- Success Aimers helps aspiring ADF professionals to build, deploy, manage Data Pipelines using ADF templates effectively & seamlessly.
- Deploying ADF scripts within cloud infrastructure securely & seamlessly.
Who should opt for ADF Engineer course?
ADF(Azure Data Factory) course accelerates/boost career in Data & Cloud organizations.
- ADF Engineers – ADF Engineers manages the end-to-end Data Orchestration life cycle using ADF workflow and airflow sensors.
- ADF Engineers – Implementing ETL Pipelines using ADF Tools.
- ADF Developers – Automated ETL pipeline deployment workflows using ADF Tools.
- ETL/Data Architect – Leading Data initiative within enterprise.
- Data and AI Engineers – Deploying ETL Application using DevOps automation tools including ADF to orchestrate pipelines seamlessly and effectively.
Prerequisites of ADF Engineer Course?
Prerequisites required for the ADF Engineer Certification Course
- High School Diploma or a undergraduate degree
- Python + JSON/YAML scripting language
- IT Foundational Knowledge along with Data and cloud ETL skills
- Knowledge of Cloud Computing Platforms like AWS, AZURE and GCP will be an added advantage.
Kind of Job Placement/Offers after ADF Engineer Certification Course?
Job Career Path in Infrastructure(Cloud) Automation using Terraform
- Data Engineer – Develop & Deploying ETL scripts within cloud infrastructure using DevOps tools & orchestrate it by using ADF & similar tools.
- ADF Automation Engineer – Design, Developed and build automated ETL workflows to drive key business processes/decisions.
- Data Architect – Leading Data initiative within enterprise.
- Data Engineers – Implementing ETL Pipelines using PySpark & ADF Tools.
- Cloud and Data Engineers – Deploying ETL Application using DevOps automation tools including Terraform across environments seamlessly and effectively.
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Azure Data Factory Course Curriculum
Start your carrer in Data with certification in ADF Engineer course, that will help in shaping the carrer to the current industry needs that need ETL automation/scheduling using intelligent workflows like ADF, Airflow Control-M, Apache Oozie & others that allow organizations to boost decision making & also thrive business growth with improved customer satisfaction.
Apache Data Factory
ADF Overview
- Azure Data Factory (ADF) Overview
- Azure Storage Solutions Overview
Environment Setup
- Creating Azure Data Factory
- Creating Azure Storage Account
- Creating Azure Data Lake Storage Gen2
- Creating Azure SQL Database
- Installing Azure Studio
Data Ingestion from Azure BLOB
- Data Ingestion from Azure BLOB Module Overview
- Copy Activity Overview
- Naming Standards
- Linked Services & Data Sets
- Control Flow Activities - Validation Activity
- Control Flow Activities - Get Metadata, If Condition, Web Activities
- Control Flow Activities - Delete Activity
- ADF Triggers Overview
- Creating Event Trigger
Data Ingestion From HTTP
- Data Ingestion from HTTP Module Overview
- ECDC Data Overview
- Create Pipeline
- Pipelines Variables
- Pipeline Parameters & Schedule Trigger
- Control Flow Activities
- Linked Service Parameters
- Metadata Driven Pipeline
Data Flows - Cases & Deaths Data Transformation
- Data Flows - Module Overview
- Introduction to Data Flows
- Data Flow UI Overview
- Transformation Requirement Overview
- Source Transformation
- Filter Transformation
- Select Transformation
- Pivot Transformation
- Lookup Transformation
- Sink Transformation
- Create ADF Pipelines
Data Flows - Hospital Admissions Data Transformation
- Data Flows Module Overview
- Transformation Requirement
- Source Transformation (Assignment)
- Select Transformation (Assignment)
- Lookup Country (Assignment)
- Conditional Split Transformation
- Source Transformation - Dim Date
- Derived Column Transformation
- Aggregate Transformation
- Join Transformation
- Pivot Transformation (Assignment)
- Sort Transformation
- Sink Transformation (Assignment)
- Create ADF Pipeline (Assignment)
Prepare Data for HDInsight & Databricks
HDInsight Activity
- HDInsight Activity - Module Overview
- Create HDInsight Cluster
- Tour of HDInsight UI
- Transformation Requirement
- Hive Script Walkthrough
- Create ADF Pipeline with Hive Acitivity
- Delete HDInsight Cluster
Databricks Activity
- Data Bricks Activity - Module Overview
- Create Azure Databricks Service
- Create Azure Databricks Cluster
- Mounting Azure Data Lake Storage
- Transformation Requirements
- Create ADF Pipeline Databricks Notebook Activity
Copy Data to Azure SQL
- Copy Data to Azure SQL - Module Overview
- Copy Data Activity - Cases & Deaths Data
- Copy Data Activity - Hospital Admissions
- Copy Data Activity - Testing Data
Making Pipelines Production Ready
- Making Pipelines Production Ready - Module Overview
- Option 1 - Pipeline Dependency
- Option 2 - Trigger Dependency
Monitoring
- Monitoring - Module Overview
- Azure Data Factory Monitor
- Creating Alerts
- Monitor Pipeline Failures
- Re-run Failed Pipelines
- Reporting on Metrics
- Introduction to Azure Monitor
- Azure Data Factory Analytics
Metadata Driven Ingestion Pipeline
- Creation of Metadata tables to capture pipeline failure
- Trigger alerts/notifications on Pipeline Failure
Continuous Integration/Continuous Delivery (CI/CD)
- Continuous Integration/Continuous Delivery (CI/CD) - Module Overview
- Introduction to Continuous Integration/Continuous Delivery (CI/CD)
- Introduction to CI/CD for Azure Data Factory
- Overview of Azure DevOps
- Azure DevOps Environment Setup
- Azure Data Factory Environment Setup
- Azure Data Factory Git Configuration
- Azure Data Factory Code Development using Git
- Release Pipeline Design
- Creating ARM Deployment Tasks
- Pipeline Variables
- Add Production Stage
- YAML Build Pipeline Script Walkthrough
- Update Release Pipeline Building as AI LangChain Chat Assistant
CI/CD Scenario - Data Lake Access
- Access to Data Lake Storage Overview
- Data Lake Storage Set-up
- Using Managed Identity - Grant access to Data Lake
- Using Managed Identity - Create Data Factory Pipelines
- Using Managed Identity - Release Pipelines changes
- Using Access Keys - Solution Options Overview
- Using Access Keys - Key Vault Set-up
- Using Access Keys - Create Data Factory Pipeline
- Using Access Keys - Release Pipeline Changes Prompt Engineering
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of Data being certified as Microsoft Certified ADF Professional.
With the ADF (Azure Data Factory) Certification in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Azure Data Factory(ADF)
- Azure Databricks
- Azure SQL
- Azure Pipelines
- Azure DevOps
- ADF Activity
- ADF Integration Runtime
- ADF Connectors
- Azure BLOB Storage
- Azure Synapse
- Kubernetes
- Terraform Cloud
- Docker
50% - 100%
Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions
Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.
Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.
Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews
Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner
Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a ADF course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of ETL/Data Pipelines Orchestration (ADF) & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a ADF engineer?
To become a successful ADF Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis. But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in ADF implementation?
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers ADF Certification Course reviewed by learners?
Our ADF Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Data & AI.
Also our training curriculum has been reviewed by alumi & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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