Azure Data Factory Training In Hyderabad
- Expert Trainer with 10+ years of Experience
- Life Time Access to Class Recordings
- Mock Interviews + Interview Questions
- Interview Guidance Till You Are Placed
- Resume preparation + Certification Dumps
Azure Data Factory Training In Hyderabad
Online Training
Next batch Details
| Trainer Name | Mr. Kalyan (Certified Trainer) |
| Trainer Experience | 10+ Years |
| Course Duration | 3 Months |
| Timings | Monday to Friday (Morning to Evening) |
| Next Batch Date | 22nd February 2024; 09:00 AM |
| Training Modes | Classroom [HYDERABAD] / Offline |
| Call us at:Â | +91 95050 07755 |
| Email us at:Â | info@lampinstitute.in |
| Demo Class Details:Â | ENROLL FOR A FREE DEMO CLASS |
Azure Data Factory Course Curriculum
Course Topics
- Â What is Data?
How many types of databases (OLTP&OLAP)
Types Cloud Vendors
What is on-premises and what is cloud
Differences between on-premises and cloud
what is Cloud computing?
what are services offering 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 VirtualMachine
How to create SQL in virtual machines
 Containers/Blob Storages
 File
 Queues
Tables
 Blob Storage vs Data Lake
 What is Data Lake
 Date Lake Gen1 Vs Gen2
 How to store Data into data lake
 How to Query data from 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-insigh
 Azure SQL
 Dedicated SQL Pool Formerly known as DW
 SQL VM’s
 SQL Managed Instances
 Azure Synapse Warehouse
Security in Storage Account
 Access keys
 Connection strings
ADF Course Curriculum
 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 Azure Data Warehouse
 How to cross query data in Data Warehouse
 Poly base 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 AzureData Factory vs SSIS
 What is Linked Services
 What is Data Sets
 What is Pipelines
 Parameters vs Variables
 Copy Data
 Monitoring pipelines using different approaches
 Different kinds of integration runtimes
 How to create pipelines from 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 using 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 in to Azure Data Factory
 What is Logic Apps
 How to Create Workflow using Logic Apps in Azure.
 How to Send Mail using Logic app in Azure Data Factory
REST API’S
 What is REST APIS and how to transfer the data from JSON format
into Azure SQL Tables.
Azure Event Hub’s:
 How to create Event hubs and using streaming Analytics how to get the streaming data
and send it to Blob storages By Using Logic Apps.
 What is Databricks
 How to Create Data Bricks Free Account
 What is Workspace in Data Bricks
 Different Kind of Clusters in Data Bricks
 Basics of Spark.
 What is Note Books
 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 the realtime notebook
 Access Keys
 Shared Access Signature
 Azure Active Directory
 How to register App in Azure Active Directory
 Role Based Access Control
Azure Key Vaults
1) Configuring the folder structures
2) Creating Repos
3) Creating Releases
4) Creating Release pipelines
5) Deployments from one environment to another environment.
 Explanation:
1) Will cover end to end flow of a project
2) How will get the requirements
3) What kind of requirements will get?
4) Documentation
5) End to end implementation
6) Unit test cases preparation
7) DMR and FS Documents
8) Will Conduct Mockup Interviews
 what is power BI
 How to create Reports in Power BI desktop Using Azure Data sources
 Publish Reports into power BI cloud
Azure Data Factory
Key Points
Comprehensive Curriculum
The Azure Data Factory training offered by Lamp Institute in Hyderabad comprehensively covers various topics, ensuring that students develop a strong grasp of the fundamental concepts and tools essential for working with Azure Data Factory.
Hands-On Experience
The training program prioritizes hands-on learning, offering students practical experience in utilizing Azure Data Factory. This approach effectively connects theoretical knowledge with real-world applications, bridging the gap between concepts and practical implementation.
Customized Learning Paths
Tailored learning paths are crafted to accommodate your distinct educational journey, guaranteeing personalized and impactful learning experiences.
Real-world Use Cases
Lamp Institute integrates real-world use cases into its training modules, enabling participants to grasp how Azure Data Factory is applied in practical scenarios. This approach enhances the relevance and applicability of the skills acquired during the training.
Interactive Learning Environment
The training sessions are designed to be interactive, encouraging a collaborative learning environment. Students actively engage with instructors and peers, fostering dynamic interactions and enhancing the overall learning experience.
Industry-Relevant Projects
Lamp Institute includes industry-relevant projects as part of the training program. This allows Students to apply their knowledge in simulated real-world projects, preparing them for challenges they may encounter in their professional roles.
Flexible Schedule Options
Recognizing the diverse needs of participants, Lamp Institute offers flexible scheduling options for Azure Data Factory training in Hyderabad. This accommodates working professionals and individuals with varying time Limitations.
Post-training Support
Lamp Institute is committed to supporting Students even after the training is completed. This may include access to resources, forums, or additional guidance to ensure continued success and skill development in the realm of Azure Data Factory.
Career Guidance
In addition to technical training, Lamp Institute provides career guidance sessions that encompass resume building, interview preparation, and insights into the current job market. These sessions are aimed at assisting participants in improving their employability and advancing their careers.
What is Azure Data Factory ?
Azure Data Factory is a cloud-based data integration service developed by Microsoft. It facilitates organizations in gathering, transforming, and transferring data seamlessly from diverse sources to designated destinations.
Azure Data Factory empowers users to create data-driven workflows, referred to as pipelines, which orchestrate and automate a variety of data processes.
Azure Data Factory facilitates the creation of data-driven workflows, commonly referred to as pipelines, which organize and automate a wide range of diverse data processes.
Azure Data Factory offers a visual interface that enables the design, monitoring, and management of data pipelines. This accessibility makes it user-friendly for both technical and non-technical users, allowing them to effectively utilize the service for their data integration needs.
Azure Data Factory empowers users to effortlessly schedule and activate data workflows, guaranteeing timely and efficient data processing.
The platform facilitates data transformation activities, enabling users to cleanse, reshape, and enhance data as it progresses through the pipeline.
Azure Data Factory is Microsoft's cloud-based data integration service, designed to streamline the creation, scheduling, and management of data pipelines for ETL (Extract, Transform, Load) processes
Azure Data Factory is a Platform as a Service (PaaS) offering provided by Microsoft. It serves as a cloud-based platform for data integration and workflow orchestration, eliminating the need for users to manage infrastructure.
Objectives of Azure Data Factory Course
The learning objectives of the Azure Data Factory Training In Hyderabad offered by Lamp Institute is meticulously crafted to equip participants with a comprehensive skill set in the field of data engineering. Through this training, students will delve deep into the fundamental concepts of Azure Data Factory, covering aspects such as data integration, data transformation, and organizing intricate workflows.
The primary goal of this training is to provide hands-on experience, enabling participants to navigate the Azure Data Factory environment proficiently, design efficient data pipelines, and effectively troubleshoot common challenges. Moreover, the training places a strong emphasis on practical application through industry-relevant projects, ensuring that participants can seamlessly apply their acquired knowledge in real-world scenarios.
- Understand the fundamental concepts of Azure Data Factory and its role in modern data integration and processing.
- Learn how to design and create data pipelines to efficiently move, transform, and organize data across different sources and destinations using Azure Data Factory.
- Gain proficiency in using Data Factory components such as data flows, data sets, linked services, and triggers to build end-to-end data integration solutions.
- Learn how to integrate Azure Data Factory with other Microsoft Azure services and tools like Azure Databricks and Azure SQL Database for advanced data processing and analytics.
- Acquire the expertise needed to monitor, troubleshoot, and optimize data pipelines within Azure Data Factory, guaranteeing dependable and efficient data movement and processing.
- Gain insight into best practices for ensuring security, scalability, and performance optimization within Azure Data Factory. By understanding these principles, you can ensure data integrity and efficiency in your data integration processes.
Prerequisites of Azure data factory
- A basic understanding of data management concepts and familiarity with databases is required as a prerequisite for Azure Data Factory training.
- Participants should have knowledge of Microsoft Azure fundamentals, including an understanding of virtual machines, storage accounts, and Azure portals.
- Familiarity with programming languages such as SQL or Python can be beneficial for students attending Azure Data Factory training.
- Prior experience with data integration tools and ETL processes will provide a solid foundation for understanding and learning Azure Data Factory.
Who should learn the course?
- Professionals in the field of data engineering and data management who are involved in tasks related to data integration, transformation, and movement stand to benefit significantly from Azure Data Factory training in Hyderabad.
- Azure Data Factory training is particularly valuable for business intelligence professionals aiming to enhance their expertise in data orchestration and automation.
- Developers seeking to broaden their expertise and proficiency in cloud-based data integration and processing would greatly benefit from attending Azure Data Factory training in Hyderabad.
- Indeed, IT professionals entrusted with overseeing data workflows and pipelines can acquire invaluable insights and skills through Azure Data Factory training.
- Database administrators interested in efficiently managing and processing data using Azure Data Factory will find attending the training highly beneficial.
- Students aspiring to pursue a career in data analytics and seeking to learn how to work with data using Azure Data Factory are encouraged to attend this training.
Course Outline
The Azure Data Factory training at Lamp Institute commences with an introduction to fundamental data integration concepts and the basics of Azure Data Factory.
Students then advance to engaging in hands-on exercises where they learn to design and deploy data pipelines utilizing the intuitive interface of Azure Data Factory.
Throughout the course, students are equipped with essential data transformation techniques, enabling them to effectively manipulate and process data.
During the training, students delve into best practices for data movement, guaranteeing optimal performance and reliability within data integration workflows.
Students receive comprehensive guidance on data organization during the training, enabling them to efficiently manage complex workflows.
By the end of the training, students develop proficiency in monitoring and managing Azure Data Factory pipelines to uphold data integrity.
The course content explores data integration patterns, offering insights into various scenarios for achieving seamless integration.
Lamp Institute's expert trainers guide participants in applying Azure Data Factory to real-world challenges, preparing them for practical implementation in data integration projects.
Course Overview
Lamp Institute’s Azure Data Factory course in Hyderabad delivers a comprehensive exploration of Microsoft’s cloud-based data integration service, empowering participants with the skills required to effectively leverage Azure Data Factory.
Commencing with a robust groundwork in data integration principles, the course navigates participants through the intricacies of crafting and implementing data pipelines using Azure Data Factory’s user-friendly visual interface.
Participants delve deep into industry-leading practices for optimizing data movement, honing their abilities to enhance performance and reliability within data integration workflows.
Upon completion of the program, participants emerge well-equipped to tackle diverse data integration obstacles and contribute meaningfully to real-world projects. Lamp Institute’s Azure Data Factory course in Hyderabad stands as an invaluable resource for individuals aspiring to excel in the dynamic realm of cloud-based data solutions.
Placement Program
Lamp Institute offers a comprehensive Placement Program tailored specifically for Azure Data Factory, aimed at equipping students with essential skills and resources essential for a successful career placement.
This program is meticulously crafted to bridge the gap between academic learning and the dynamic industry requirements, ensuring that participants are thoroughly prepared to meet the demands of the competitive job market within the Azure Data Factory domain.
Job Roles :
- Azure Data Factory (ADF) ETL Developer
- Senior Azure Data Factory Developer
- Lead Data Engineer (Azure Data Factory)
- Azure Data Factory Engineer
- Data Engineer
- Microsoft Azure Data Services Data Platform Engineer
Modes of Training
Online Training
- Convenience and Flexibility
- Diverse Learning Resources
- Scalability
- Individualized Learning Paths
- Global Reach
- Real-time Progress Tracking
Self-Paced Videos
- On-demand Learning
- Flexible 24/7 Availability
- Multimedia Content
- Self-assessment
- Daily Class Recordings
- Live Projects
Corporate Training
- Customized Programs
- On-site or Virtual Options
- Live Projects
- Daily Class recordings
- Team-building Exercises
- Industry Experts
Career Opportunities
01
Data Engineer
Designing and managing data processing systems utilizing Azure Data Factory.
02
ETL Developer
Develops processes for Extracting, Transforming, and Loading data through Azure Data Factory.
03
Data Architect
Architects the overarching structure and data flow within an organization utilizing Azure Data Factory.
BI Developer
Utilizes Azure Data Factory for extracting and transforming data to facilitate Business Intelligence and reporting purposes.
05
Cloud Data Engineer
Constructs scalable and flexible data solutions within the Azure cloud environment utilizing Azure Data Factory.
06
Data Integration Specialist
Emphasizes the integration of data from diverse sources through the utilization of Azure Data Factory.
07
Big Data Engineer
Effectively manages and organizes intricate data workflows to facilitate large-scale data processing through Azure Data Factory.
08
Data Warehouse Developer
Optimizes the loading and transformation of data into data warehouses by leveraging Azure Data Factory.
09
Data Analyst
Leverages Azure Data Factory to access, transform, and analyze data, extracting valuable insights.
10
Machine Learning Engineer
Prepares data for machine learning models using Azure Data Factory, thereby facilitating the development and deployment of predictive models.
Skills developed post Azure Data Factory Training In Hyderabad
01
Skill in crafting and deploying data pipelines through the intuitive visual interface of Azure Data Factory.
05
Expertise in data organizing, facilitating the efficient management of intricate data workflows.
02
Understanding of fundamental data transformation techniques to effectively manipulate and process data.
06
Familiarity with industry best practices for data movement, guaranteeing optimal performance and reliability.
03
Capability to monitor and manage Azure Data Factory pipelines effectively, ensuring data integrity is maintained.
07
Understanding of practical implementation, enabling participants to apply Azure Data Factory skills to real-world challenges.
04
Understanding of diverse data integration patterns for achieving seamless integration in various scenarios.
08
Proficiency in leveraging Azure Data Factory tools for integrating with diverse data sources, including both on-premises and cloud-based environments.
Azure Data Factory Certifications
-
Microsoft Certified: Azure Data Factory Associate - Microsoft Certified: Azure Data Engineer Associate
Certifications are crucial for professionals in the Azure Data Factory domain as they confirm and showcase proficiency in utilizing this powerful data integration tool. Microsoft provides certifications like the “Azure Data Associate,” which specifically evaluates competencies related to Azure Data Factory.
Attaining these certifications not only showcases a thorough comprehension of Azure Data Factory but also provides a recognized credential that can bolster career prospects.
Lamp Institute distinguishes itself by providing participants with an industry-recognized certification upon course completion. This certification not only signifies the successful acquisition of skills but also serves as a valuable credential, enhancing the professional profiles of individuals in the job market.
Testimonials
Azure Data Factory Course
Benefits
High Demand in the Industry
Azure Data Factory skills are in high demand across industries, as organizations increasingly rely on data-driven decision-making. Completing the course enhances your employability and opens doors to a wide range of job opportunities.
Competitive Salaries
Professionals possessing expertise in Azure Data Factory often command competitive salaries due to the specialized nature of their skills. The course equips you with the knowledge and hands-on experience necessary to negotiate competitive compensation packages in the job market.
Career Growth
Acquiring Azure Data Factory skills positions you for career growth within the rapidly evolving field of data engineering. The course covers essential concepts and hands-on practices, ensuring you are well-prepared to take on more challenging roles and responsibilities as you progress in your career.
Industry Recognition
Obtaining the Azure Data Factory certification from a reputable institution like Lamp Institute enhances your professional credibility. This industry-recognized certification sets you apart during job searches, making you more appealing to potential employers.
Versatility in Data Management:
Azure Data Factory is a versatile tool that empowers you to manage and transform data across various sources and formats. The course enables you to develop proficiency in designing and implementing data pipelines, thereby making you a valuable asset for organizations dealing with diverse data sets.
Innovation and Efficiency
Mastering Azure Data Factory empowers you with the expertise to create innovative and efficient data workflows, a skillset highly sought after by organizations aiming to optimize their data processing and analytics capabilities.
Market Trend
01
Azure Data Factory is experiencing a rising market trend as organizations increasingly adopt cloud-based solutions for their data integration requirements.
02
The demand for Azure Data Factory skills is surging, mirroring the industry's transition towards scalable and adaptable cloud-based data solutions.
03
Organizations are leveraging Azure Data Factory to streamline data workflows, resulting in heightened efficiency and diminished operational complexities.
04
The market trend indicates a preference for professionals with expertise in Azure Data Factory as organizations prioritize data-driven decision-making.
05
Azure Data Factory's seamless integration with other Azure services contributes to its popularity in the evolving landscape of cloud-based data solutions.
06
Azure Data Factory's versatility in managing both on-premises and cloud-based data sources aligns with the current trend of hybrid data environments.
07
The increasing adoption of Azure Data Factory underscores businesses' recognition of the platform's pivotal role in attaining a unified and efficient approach to data integration and analytics.
08
There is a wealth of job opportunities for professionals skilled in Azure Data Factory, as a growing number of organizations actively seek individuals who can leverage the platform's capabilities for effective data integration. This trend contributes to a favorable employment landscape for qualified candidates.
Our Accomplishments
Frequently Asked Questions
A.Indeed, Lamp Institute offers both traditional classroom-based training and online learning options, ensuring flexibility to accommodate various preferences.
A. The duration of the Azure Data Factory training at Lamp Institute varies depending on the specific package and course selected. However, most programs typically last around 3 months.
A. While having prior knowledge in data integration is advantageous, it is not a prerequisite. Lamp Institute’s Azure Data Factory training is designed to accommodate both beginners and experienced professionals.
A. To fully benefit from the training, it is recommended to have a basic understanding of essential data concepts such as databases, data warehouses, and data formats.
A. The Azure Data Factory training covers topics such as data storage, data movement, data transformation, and orchestration of Data Factory pipelines.
A. Lamp Institute offers a course completion certificate after the completion of the Azure Data Factory training In Hyderabad.
A. Yes, the trainers at Lamp Institute are experienced professionals who are certified in Azure Data Factory.
A. Lamp Institute’s Azure Data Factory training is designed to provide practical, hands-on experience, enabling learners to gain proficiency in data integration on Azure.
A. Yes, Lamp Institute provides post-training support to help learners apply what they’ve learned to real-world situations.
A. The cost of Azure Data Factory training at Lamp Institute depends on the course and package you choose. You can contact their support team for more information on pricing and packages.
Yes, Azure Data Factory is an ETL (Extract, Transform, Load) service by Microsoft, facilitating the orchestration and automation of data workflows for data integration across various sources and destinations.
Yes, Azure Data Factory involves both a graphical interface for designing data workflows and allows coding through Azure Resource Manager (ARM) templates, enabling programmatic definition and deployment of data pipelines using JSON files.
