ADF Training In Hyderabad
Learn Azure Data Factory Course in Hyderabad with industry experts. Build real data pipelines and become job-ready fast.
ADF Training In Hyderabad
ADF Training: Choose the best Azure Data Factory training in Hyderabad with hands-on labs, weekend batches, and placement assistance. Azure Data Factory (ADF) is a cloud-based tool by Microsoft. It helps you move and change data from one place to another. You can use it to build data pipelines that connect to many sources, like cloud apps or on-premise systems. ADF is great for ETL tasks, such as extracting, changing, and loading data. It works well with tools like Azure SQL, Data Lake, and Synapse. Many companies use ADF to manage data for reports and insights. Our ADF Training in Hyderabad teaches you how to use this tool with hands-on projects. No coding background needed to join our Azre Data Factory training. Our course starts with the complete basics, and gradually, we proceed to advanced topics. It allows everyone to understand the concepts easily and enables a foundation for people from different backgrounds.
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Upcoming Batches
Key Features of Our ADF Training
- Our ADF training in Hyderabad is led by certified professionals. These professionals are real-time working professionals on Azure Data Factory projects.
- We've designed our Azure Data Factory course in Hyderabad to match industry demands. The curriculum is regularly updated, so you're always learning what's in demand.
- At Code Zen Eduversity, we believe in learning by doing. That's why we include hands-on labs and practical use cases from your first class.
- Our ADF training in Hyderabad features both online and offline options. Moreover, you can join our hybrid mode to attend sessions online and offline.
- Our ADF training comes with placement assistance. Our dedicated team will help you with resume preparation and mock interviews. It allows you to connect with job opportunities in top companies.
- You will have access to all our recorded sessions for 1 year. Moreover, our trainer will help you with practical lab exercises and PDF materials.
- During the course, you'll work on live Azure Data Factory projects. This helps you gain the experience to step into fundamental job roles confidently.
- Our personalized ADF training lets you connect with our trainer to clarify doubts. Our trainer helps you with one-on-one doubt-clearing sessions if you have any doubts.
- Our course isn't just theory-heavy. We balance every concept with real use cases, ensuring you understand how and why things work.
- Everything you learn in our course is focused on helping you land a job. From the tools to the projects, it's all about employability.
- We make learning simple and stress-free. Our trainers and staff are always there to guide, support, and help you succeed at every step.
- After completing the ADF training, you will receive a course completion certificate. It allows you to showcase your new skills and ensure your learning.
Why Choose Code Zen Eduversity for ADF Training?
Guaranteed Placement Assistance for Job-Ready Candidates
- 90+ hours of training from real-time industry professionals.
- Small batch sizes for personalized learning approach
- Job-focused course with hands-on projects.
- Dedicated career counselor and placement team for job assistance.
- Working professional trainers with 7+ years of experience.
- 100% placement support after completing the course.
- Back-up class recording with complete course materials.
- Industrial tools covered during the Cyber Security course.
- Exclusive lifetime access to our resources and community.
Azure Data Factory Training in Hyderabad
Course Curriculum Overview
- What is Data?
- How many types of databases (OLTP and OLAP)
- Types of Cloud Vendors
- What is on-premises, and what is cloud
- Differences between on-premises and cloud
- What is Cloud computing
- What services offer Microsoft Azure
- Advantages of cloud computing
- Types of cloud deployments
- Types of Cloud Services
- Microsoft Azure vs AWS
- How to Create an Azure Account
- Azure Architecture & Services
- How to Create Resources and Resource Groups in Microsoft Azure
- How to create Virtual Machine
- How to create SQL in virtual machines
- Containers/Blob Storage
- File
- Queues
- Tables
- Blob Storage vs Data Lake
- What is a Data Lake
- Date Lake Gen1 Vs Gen2
- How to store data in the data lake
- How to query data from the data lake to SQL Server.
- Introduction to Azure Data Lake U-SQL Batch Job
- Data Lake Analytics
- How to Schedule Data Lake Analytics Jobs using Data Factory
- Azure Blob to Data Lake Gen 2 using Data Factory
- What is HD-insight
- Azure SQL
- Dedicated SQL Pool is formerly known as DW
- SQL VM’s
- SQL Managed Instances
- Azure Synapse Warehouse
- Security in Storage Account
- Access keys
- Connection strings
- IAM/RBAC
- Share Access Signatures (SAS Tokens)
- Service Principal Identity Mechanism(Tenant ID, Client ID, Secret Key)
- Compare SQL Database vs Azure Data Warehouse
- How to Create an Azure Data Warehouse
- How to cross-query data in a Data Warehouse
- Polybase using Azure Data Warehouse
- How to Query Azure SQL Data Warehouse from On-premises SSMS and Cloud
- How to Load Data to Azure Data Warehouse using Data Factory from Azure SQL
- How to Load Data from on-premises to Cloud SQL DW using Data Factory
- What is Azure Data Factory vs SSIS
- What are Linked Services
- What are Data Sets
- What are Pipelines
- Parameters vs Variables
- Copy Data
- Monitoring pipelines using different approaches
- Different kinds of integration runtimes
- How to create pipelines from a template
- How to do Transformations using Data Flows
- How to configure different Integration Runtimes
- Azure Integration Runtime
- Auto resolve Integration runtime
- Azure Self-Hosted Integration Runtime
- SSIS Integration Runtime
- Triggering the Pipelines by using 3 types of Triggers
- Move & transform
- Copy Data
- General activities
- Web Activity
- Execute Pipeline
- Execute SSIS Package
- Get Metadata
- Lookup
- Stored procedure
- Set Variable
- Delete
- Wait
- Until
- Iteration & Conditionals
- Filter
- For Each
- If Condition
- Until
- Source
- Lookup
- Derived Column
- Alter Row
- Conditional Split
- Sink
- What are ARM Templates used for Deployment
- How to Deploy Data Factory Pipelines DEV, Test, Prod
- Environment
- Version Control and Code Repository in Azure DevOps
- Debugging and Monitoring Pipelines
- Error handling and Logging error records
- Lift and Shift SSIS packages into Azure Data Factory
- What are Logic Apps
- How to Create a Workflow using Logic Apps in Azure
- How to Send Mail using the Logic App in Azure Data Factory
- REST API’S
- What is REST APIS, and how do you transfer the data from JSON format into Azure SQL Tables?
- Azure Event Hubs:
- How do you create event hubs, use streaming analytics, get streaming data, and send it to Blob storage using Logic Apps?
- What is Databricks
- How to Create a DataBricks Free Account
- What is Workspace in DataBricks Bricks
- Different kinds of Clusters in DataBricks
- Basics of Spark
- What are Notebooks
- How to Mount Data Take to data bricks using Scala
- Reading data from Blob storage and writing into Azure SQL
- Reading data from Data Lake storage and writing into Azure
- SQL
- Using Spark SQL
- Explore, Analyze, Clean, Transform, and Load Data in Data bricks using SQL
- Python vs scata vs SQL
- Configure data bricks
- Schedule and Run Notebooks in Azure Data Factory with real-time notebooks
- Access Keys
- Shared Access Signature
- Azure Active Directory
- How to register an App in Azure Active Directory
- Role-Based Access Control
- Azure Key Vaults
- Explanation
- Will cover end-to-end flow of a project
- How will we get the requirements
- What kind of requirements will you get?
- Documentation
- End-to-end implementation
- Unit test case preparation
- DMR and FS Documents
- Will Conduct Mockup Interviews
- Testing and Feedback for Your App
- Setting up a Test Environment
- Usability Testing by Participants
- Starting your Test Session
- Analyzing your Test
- Publishing Flutter Apps
- Publishing an Android App on the Google Play Store
- Publishing an iOS app on the App Store
Skill Covered
- You will be able to understand Microsoft Azure basics and cloud platform fundamentals.
- You will learn to create and manage Azure storage accounts.
- Able to work with Azure Data Lake for big data storage.
- Get clarity on using Azure SQL services for managing cloud databases.
- You will understand Azure Synapse and data warehousing concepts.
- Able to build and manage data pipelines using Azure Data Factory.
- Have an understanding of automating workflows with Azure Logic Apps integration.
- You will be able to explore data engineering using Azure Databricks.
- Able to implement data security best practices in Azure.
- You will gain hands-on experience through real-time ADF projects.
- You have hands-on experience in testing and publishing applications on the Azure environment.
Tools we cover
- Azure Storage Explorer
- Azure Data Lake Storage (Gen2)
- Azure SQL Database
- Azure Synapse Analytics (formerly SQL Data Warehouse)
- Azure Data Factory (ADF)
- Azure Logic Apps
- Azure Databricks
- Azure Monitor & Log Analytics
Flexible Learning Options
Online Training
- 1 Hours Training
- 90+ Days
- Online Interaction with Trainer
- LMS Access
- Guaranteed Placement Assistance
- Weekly Assessments
- Morning & Evening Slots Available
- Weekdays & Weekend Training
Classroom Training
- 1 Hours Training + 2 Hours of Practice Session
- 90+ Days
- In-Personal Interaction with Trainer
- LMS Access
- Guaranteed Placement Assistance
- Weekly Assessments
- Morning & Evening Slots Available
- Weekdays Training Only
Placement Support and Career Opportunities
Our Azure Data Factory training offers Placement assistance. Our course includes resume preparation, mock interviews, and interview preparation. Moreover, after completing the course, our placement team will guide you in applying for jobs.
Job Roles You Can Target
- Data Engineer
- Azure Data Factory Trainee
- ETL Developer
- Cloud Security Engineer
- Azure Support Engineer
- Cloud Data Associate
- Azure Data Factory Consultant
- Data Integration Engineer
Pre Requisites
You don’t need a tech background to join our ADF Training in Hyderabad. Our course is designed for freshers and working professionals. A beginner can also enroll in our data engineering and cloud platforms course. However, a basic knowledge of computers and a willingness to learn are enough to join the course. At Code Zen Eduversity, we ensure everyone learns practices and gets a job.
Who Should Enroll in ADF Training?
- Freshers or Final-Year Students
- Working Professionals
- Data Analysts or BI Professionals
- Cloud Enthusiasts
- ETL Developers
- Non-IT Background Individuals
Testimonials from our Alumni
Certificate Process
Code Zen Eduversity will provide a course completion certificate to students who finish their Azure Data Factory Training.
The certificate would be offered to students within a week after completing the training program.
The certification will be given to the students who have completed their projects and assignments on time.
Frequently asked questions
No, you don‘t. Our ADF course is beginner-friendly and doesn’t require a coding background. We teach everything step by step.
Yes. Many of our students come from non-IT backgrounds. We’ll help you build the right skills.
Absolutely. Our AWS training includes real-time projects, hands-on labs, and practical tasks to help you apply your learning.
Yes. We offer full placement support, including resume building, mock interviews, and job referrals to hiring partners.
Yes. You can choose between online classes or attend in-person sessions at our Hyderabad campus.
The complete course duration will be for 90 days. It includes theory sessions, project work, and revision classes.
You can apply for Job roles like Data Engineer, ADF Developer, ETL Developer, or Azure Data Analyst.
Yes. We offer weekend and evening batches that are perfect for working professionals.
Yes. All sessions are recorded and shared so you can watch them anytime.