Azure Data Factory Training in Hyderabad
With
100% Placement Assistance
Azure Data Factory Training in Hyderabad Batch Details
| Contact Us | +91 958 123 9898 |
| Azure Data Factory Course Duration | 2 Months |
| Azure Data Factory Timings | Monday to Friday (Morning to Evening) |
| Next Batch Date | 15th February 2023 AT 8:00 PM |
| Training Modes | Classroom [HYDERABAD] / Online |
| Azure Data Factory Server Access | 2 Months / Free |
Key Points Of Azure Data Factory Training in Hyderabad
- Azure Data Factory Training in Hyderabad.
- Free Azure Data Factory Course demo class.
- Free Azure Data Factory Course demo class.
- 350+ students trained and 150+ recruited in the last 2 months.
- Certified Azure Data Factory Course Trainers
- Azure Data Factory Beginner + Advanced level training
- Live Azure Data Factory sessions
- Guaranteed placement assistance.
- Azure Data Factory Affordable course fees
- Customized Azure Data Factory course curriculum
- ADF Live project + case studies
- Every Azure Data Factory class will be followed by practical assignments.
- Practical Azure Data Factory Course exposure.
- Azure Data Factory 45+ Hours of Online Live Instructor-Led Classes
- MLN Academy provides Azure Data Factory Training a comprehensive project-based learning experience that prepares you for success.
Azure Data Factory Training Curriculum
This course helps you to understand solutions in Azure for Data Engineering purposes
- Azure Fundamentals and Data Fundamentals
- Azure SQL Server
- Azure SQL Database
- Azure Storage Account and Data Lake Store Gen 2
- Azure Databricks
- Azure Data Factory
- Azure Logic apps
- Azure Synapse Analytics
- Azure Synapse Spark
- Azure Resource Group
- Azure Tags
- Azure Key Vault
- Github Integration
- Azure Data Studio
- Azure Cost Management and Billing
Cloud Concepts
- Key concepts and terms
- Economics of Scale
- Types of Cloud Models
- Types of Cloud Services
- Management Responsibilities
Core Azure Services
1 Terminologies:
- Data Centers
- Regions
- Pairs
- Geographies
- Availability Sets and Zones
- Provisioning concepts:
- Resource Groups
2 Compute Services:
- Virtual Machines
- Serverless Compute
3 Storage Services:
- Storage Account
- Data Lake Store
- Database Services:
- SQL Database
- Big Data and Analytics Services:
- Synapse Analytics
- Data bricks
- Azure Active Directory
- Security centre
- Azure Key Vault
- Azure Firewall
- Azure Subscription
- Management Groups
- Azure Products and Services
- Azure Free Account
- Pricing Calculator
- Knowledge Centers and Forums
- Overview of Storages, Object and Hierarchical Storages
- Azure Blob Storage Vs. Data Lake Store Gen 2
- Provisioning Azure Storage account
- The Blob, File, Table Storage
- File System using Azure Storage Explore
- Provisioning Azure Data Lake Store Gen 2
- Uploading/Downloading files
- The Account Key and SAS Token
- Azure Data Services
- Azure SQL Servers
- Azure Database PaaS solutions
- Elastic Pool
- Single SQL Database
- Azure SQL Managed Instance
- Provisioning Azure SQL Database
- Configuring connectivity and firewall
- Understanding Structured Query Language
- Overview of SQL Management Studio
- SQL Dialect
- DML and DDL
- Joins and other clauses
- Stored Procedures
- Overview of SQL Data Studio
- Data Modelling using concepts of Normalization
- Introduction to Azure Data Factory as Orchestration tool
- Copy activity to migrate data from Azure Blob Storage to Azure Data Lake store
- Azure Data Factory Components o Connectors/Link Service
- Data Sets
- Pipeline
- Activities
- Integration with Azure SQL Database
- Monitoring and Troubleshooting
- Scheduling the Data Pipeline
- Working with Parameters
Locating Exits
- Implementing Exit
- Function Module Exists
- Screen Exit
- Menu Exits
- BADIs in Detail
1. Features of BDIs
2. Differences between Exits and BDIs
3. Implementation BADIs Function BADIs Screen BADIs Manu BADIs
4. Defining and implementing Custom BADIs
5. Enhancement SPOTs
6. Implict , Explict SPOTs Function Group Enhancement Class Enhancements - Pre-Exit, Post-Exit, Overwite
- Different types of Transformations.
- Working with Incremental Data
- Working with Bulk Copy
- Working with Mapping Flows.
- Monitoring and Troubleshooting
- Big Data Analytics with few use-cases
- Extract, Load and Transform
- Batch Processing
- The Azure Databricks as unified solution
- Azure Databricks Features, Components
- Databricks Workspace
- Databricks Runtime
- Databricks Clusters
- Databricks Jobs
- Notebook
- Driver and worker
- Workflows
- DBFS
- The processing engine- Apache Spark and its features
- Spark Context, Spark Session
- Working with Databricks File System
- Introduction to SQL Data Warehouse
- Features of SQL Data
- Benefits of SQL Data Warehouse
- Architecture of SQL Data Warehouse
- Massive Parallel Processing
- Components of Azure Synapse
- SQL Analytics: Complete T-SQL based analytics
- SQL pool (pay per DWU provisioned) – Generally Available
- SQL on-demand (pay per TB processed) – (Preview)
- Data Integration: Hybrid data integration (Preview)
- Provisioning SQL Data Warehouse
- Working with the Server Settings
- Working with the Database Settings
- Scalable Storage and Compute
- Pause and Scale on Demand
- Data Warehouse Units
- Data Warehouse Workload
- Pricing Details
- Creating a Database
- Connecting to a Database
- Creating a table
> Creating a table from a SELECT Statement
> Limitations of options while creating a table
- Working with Tables
- Creating Views and Stored Procedures
- Querying SQL Data Warehouse Tables
- T-SQL in SQL Data Warehouse
- Introduction to Synapse Pool: Serverless and Dedicated SQL Pool
- Connecting from SQL Server Management Studio
- Connecting from SQL Server Data Tools
- Working with Dimensions and Fact tables
- Choosing appropriate partition keys
- The Star and Snowflake schema
Preparing the Data Warehouse
- Setting up Connections
- Retrieving the Data
- Transforming the Data
- Loading the Data
- Data integration with Azure Data Factory or Azure Synapse Pipelines
- Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines
- Create data pipeline to import poorly formatted CSV files
- Create Mapping Data Flows
About Azure Data Factory Training in Hyderabad
At MyLearnNest Training Institute, we offer comprehensive Azure Data Factory Training in Hyderabad designed to empower professionals with the skills needed to excel in the dynamic world of data integration. Our training program is meticulously crafted to provide hands-on experience and practical insights tailored to the unique requirements of the Hyderabad market.
Why Choose Azure Data Factory Training at MyLearnNest?
Industry-Relevant Curriculum:
Our Azure Data Factory Training curriculum is carefully curated by industry experts to cover the latest trends, best practices, and real-world scenarios relevant to Hyderabad’s thriving IT landscape. From data ingestion to transformation and loading, our course equips you with the knowledge and skills needed to tackle complex data integration challenges confidently.
Azure Data Factory Expert Guidance:
Learn from seasoned professionals who have extensive experience working with Azure Data Factory in diverse business environments. Our trainers provide personalized guidance and mentorship to help you understand core concepts thoroughly and apply them effectively in your projects.
Hands-On Experience:
We believe in learning by doing. That’s why our Azure Data Factory Training in Hyderabad includes hands-on labs, practical exercises, and industry case studies that enable you to gain practical experience and develop problem-solving skills in a simulated environment.
Customized Learning Paths:
Whether you’re a beginner looking to kickstart your career in data integration or an experienced professional aiming to enhance your skills, we offer customized learning paths to cater to your specific needs and goals. Our flexible training approach ensures that you get the most out of your learning journey.
Certification Preparation:
Prepare for Microsoft Azure Data Factory certification exams with confidence. Our training program covers all the topics included in the certification syllabus, and our trainers provide exam-focused guidance and resources to help you ace the certification exam.
Azure Data Factory Job Assistance:
As a leading training institute in Hyderabad, we understand the importance of career advancement. That’s why we provide comprehensive job assistance to our students, including resume building, interview preparation, and placement support, to help you secure rewarding job opportunities in top companies.
Enroll in Azure Data Factory Training at MyLearnNest and embark on a rewarding journey towards becoming a proficient data integration specialist in Hyderabad’s thriving IT industry. Let us empower you to unlock new career possibilities and drive business success through effective data integration strategies.
Azure Data Factory Training Institute in Hyderabad
Embark on a transformative journey into the world of data integration with MyLearnNest Training Institute, your premier destination for Azure Data Factory Training in Hyderabad. At MyLearnNest, we believe in empowering individuals with the knowledge and skills needed to excel in today’s data-driven landscape. With our comprehensive training program, you’ll unlock the full potential of Azure Data Factory and position yourself for success in the competitive IT industry.
Join MyLearnNest Training Institute Today
Ready to take your skills to the next level? Join MyLearnNest Training Institute for Azure Data Factory Training in Hyderabad and unlock a world of opportunities in data integration. Whether you’re looking to advance your career, expand your skill set, or stay ahead of industry trends, we’re here to help you succeed. Enroll today and let’s embark on this exciting journey together!
In what ways has My Learn Nest helped you in your Azure Data Factory learning?
Expert Guidance: MyLearnNest provides expert guidance from seasoned professionals who have extensive experience in Azure Data Factory. Learners benefit from the deep insights, practical tips, and real-world examples shared by these instructors, which greatly enhance their understanding of the platform.
Comprehensive Curriculum: The training institute offers a comprehensive curriculum that covers all aspects of Azure Data Factory, from basic concepts to advanced techniques. Learners receive a well-rounded education that prepares them to tackle a wide range of data integration challenges effectively.
Hands-On Learning Experience: MyLearnNest emphasizes hands-on learning, providing learners with ample opportunities to apply their skills in practical exercises and real-world scenarios. Through interactive labs and projects, learners gain valuable experience that reinforces their understanding of Azure Data Factory concepts.
Customized Learning Paths: Recognizing that every learner is unique, MyLearnNest offers customized learning paths tailored to individual needs and goals. Whether learners are beginners or experienced professionals, they receive personalized guidance and support to ensure they get the most out of their training experience.
State-of-the-Art Facilities: MyLearnNest provides state-of-the-art facilities equipped with the latest technology and resources. Learners have access to modern classrooms, dedicated lab environments, and online learning platforms that facilitate immersive and engaging learning experiences.
Flexible Learning Options: MyLearnNest offers flexible learning options to accommodate learners’ schedules and preferences. Whether learners prefer in-person classes, online sessions, or a combination of both, they have the flexibility to choose the format that works best for them.
Continuous Support and Guidance: MyLearnNest provides continuous support and guidance to learners throughout their Azure Data Factory learning journey. From answering questions and clarifying doubts to providing exam preparation assistance, the training institute is committed to helping learners succeed every step of the way.
Overall, MyLearnNest Training Institute has played a pivotal role in helping learners achieve success in their Azure Data Factory learning by providing expert guidance, comprehensive curriculum, hands-on learning experiences, customized learning paths, state-of-the-art facilities, flexible learning options, and continuous support and guidance. Through these efforts, MyLearnNest has empowered learners to master Azure Data Factory and unlock new opportunities in the field of data integration.
Azure Data Factory Training Eligibility criteria?
Educational Background: Typically, candidates should have a bachelor’s degree in a related field such as computer science, information technology, engineering, or a similar discipline. Some training programs may also accept candidates with equivalent educational qualifications or relevant work experience.
Basic Knowledge of Data Concepts: While not always mandatory, having a basic understanding of data concepts such as databases, data warehousing, ETL (Extract, Transform, Load) processes, and data integration can be beneficial. This foundational knowledge can help candidates grasp Azure Data Factory concepts more effectively.
Familiarity with Cloud Computing: Since Azure Data Factory is a cloud-based data integration service provided by Microsoft Azure, having a basic understanding of cloud computing principles, services, and terminology can be advantageous. This includes familiarity with concepts such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Programming Skills: While not always required, proficiency in programming languages such as SQL (Structured Query Language), Python, or PowerShell can be beneficial for working with Azure Data Factory. Candidates with programming skills may find it easier to create and customize data integration pipelines and activities.
Experience with Data Tools and Technologies: Experience with data-related tools and technologies such as relational databases (e.g., SQL Server, MySQL), data modeling tools, ETL tools (e.g., SSIS, Informatica), and data visualization tools (e.g., Power BI, Tableau) can be advantageous. Candidates with prior experience in data management or data analysis roles may find Azure Data Factory training particularly relevant.
Motivation and Commitment: Lastly, candidates should demonstrate a strong motivation to learn and a commitment to completing the training program successfully. Azure Data Factory training may involve intensive coursework, hands-on exercises, and self-directed learning, so candidates should be prepared to dedicate time and effort to their studies.
Opportunities for Azure Data Factory Careers:
Azure Data Factory (ADF) offers a wide range of career opportunities for individuals with expertise in data integration, data engineering, and cloud computing. Here are some of the key career paths and opportunities available in Azure Data Factory:
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Data Engineer: Data engineers play a crucial role in designing, building, and maintaining data pipelines to move and transform data from various sources to destination systems. With expertise in Azure Data Factory, data engineers can work on architecting data integration solutions, optimizing data workflows, and ensuring data quality and reliability.
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Cloud Data Architect: Cloud data architects are responsible for designing scalable and efficient data architectures in cloud environments such as Microsoft Azure. With proficiency in Azure Data Factory, cloud data architects can design and implement data integration solutions that leverage the capabilities of Azure services such as Azure Blob Storage, Azure SQL Database, Azure Data Lake Storage, and more.
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Business Intelligence Developer: Business intelligence (BI) developers utilize Azure Data Factory to extract, transform, and load (ETL) data from multiple sources into data warehouses or data lakes for analysis and reporting purposes. They work closely with business stakeholders to understand data requirements and develop BI solutions that drive informed decision-making.
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Data Analyst: Data analysts use Azure Data Factory to access and prepare data for analysis, reporting, and visualization purposes. They leverage Azure Data Factory to ingest data from diverse sources, clean and transform data as needed, and make it available for analysis using tools such as Power BI or Azure Synapse Analytics.
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Big Data Engineer: Big data engineers specialize in handling large volumes of data using distributed computing technologies such as Apache Hadoop and Apache Spark. With Azure Data Factory, big data engineers can orchestrate data workflows that involve processing and analyzing massive datasets stored in Azure Data Lake Storage or Azure Databricks.
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Data Integration Consultant: Data integration consultants provide advisory and implementation services to organizations looking to streamline their data integration processes. With expertise in Azure Data Factory, data integration consultants can assess clients’ data integration needs, design tailored solutions, and oversee the implementation and deployment of Azure Data Factory pipelines.
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Machine Learning Engineer: Machine learning engineers leverage Azure Data Factory to prepare and preprocess data for machine learning model training and inference. They use Azure Data Factory to create data pipelines that ingest, clean, and transform data for use in machine learning algorithms deployed on Azure Machine Learning or other platforms.
Modes of Training For Azure Data Factory Course in Hyderabad
What Makes Us The Azure Data Factory Training Institute in Hyderabad
Flexible Timings
Our course timings are flexible and user-friendly allowing a convenience for our students.
Complete Hands-On-Training
Practical real-time experience of Azure Data Factory training with hands-on assistance.
Student diaries
We have trained over 690+ students in Azure Data Factory with 398+ successful placements.
Affordable Fees
My Learn Nest does not charge additional or accessory charges or fees for any of the programs from the Azure Data Factory Training in Hyderabad.
Corporate Expert Trainer
We are led by a team of professional and certified Azure Data Factory expert trainers.
Updated Syllabus
Our Azure Data Factory training syllabus consists of updated concepts and ADF to keep our students updated.
Earn a Certificate
Enroll in our ADF training in Hyderabad and get a certified course completion certificate.
Lifetime Study Material
You can enjoy lifetime access to our study material and LMS.
Testimonials of ADF Training in Hyderabad
My experience with MyLearnNest's Azure Data Factory Training in Hyderabad was phenomenal! The instructors provided in-depth insights into Azure Data Factory concepts relevant to the Hyderabad market, making learning both engaging and practical.
Enrolling in MyLearnNest's Azure Data Factory Training in Hyderabad was one of the best decisions I made for my career. The trainers were knowledgeable, the course material was well-structured, and the hands-on labs provided valuable practical experience.
If you're serious about mastering Azure Data Factory, look no further than MyLearnNest's training in Hyderabad. The trainers go above and beyond to ensure every participant understands the intricacies of Azure Data Factory in the context of Hyderabad's market demands.
Azure Data Factory Course Certification
Certainly! Here’s detailed information on Azure Data Factory Course Certification provided by MyLearnNest Training Institute:
Azure Data Factory Course Certification Overview:
At MyLearnNest Training Institute, we offer a comprehensive Azure Data Factory Training program designed to equip learners with the skills and knowledge needed to excel in data integration using Microsoft Azure’s cloud-based service. Upon successful completion of our Azure Data Factory Training, learners have the opportunity to obtain a certification to validate their proficiency in Azure Data Factory.
Certification Benefits:
Recognition of Expertise: The Azure Data Factory Certification from MyLearnNest serves as a recognized credential that validates your expertise in designing, building, and managing data integration solutions using Azure Data Factory.
Career Advancement: Holding an Azure Data Factory Certification enhances your credibility and opens up new career opportunities in roles such as data engineer, cloud data architect, business intelligence developer, and more.
Competitive Edge: In today’s competitive job market, having a certification demonstrates your commitment to continuous learning and distinguishes you from other candidates vying for similar positions.
Industry Recognition: MyLearnNest Training Institute is a reputable institution known for delivering high-quality training programs. Our certification carries weight in the industry and is recognized by employers seeking skilled professionals in Azure Data Factory.
Certification Process:
Completion of Training: To be eligible for the Azure Data Factory Certification, learners must successfully complete the Azure Data Factory Training program offered by MyLearnNest Training Institute. This includes attending all training sessions, completing assignments, and participating in hands-on exercises and projects.
Assessment: Upon completion of the training program, learners may be required to pass a comprehensive assessment or examination to demonstrate their understanding of Azure Data Factory concepts, principles, and best practices.
Certification Award: Upon successful completion of the assessment, learners will be awarded the Azure Data Factory Certification from MyLearnNest Training Institute. The certification may be in the form of a digital badge, certificate, or both, depending on the institute’s policies.
Maintaining Certification:
In some cases, certification may require periodic renewal or maintenance to ensure that certified professionals stay current with the latest developments and updates in Azure Data Factory. MyLearnNest Training Institute may offer opportunities for continuing education, advanced training, or recertification to help certified professionals maintain their credentials and stay competitive in the field.
Azure Data Factory Placements
Data Analyst 6 LPA
Data Engineer 5 LPA
Big Data Engineer 5 LPA
Advantages of learning Azure Data Factory Training Program
- Plenty of job opportunities or workflow opportunities in Azure Data Factory Course.
- Azure Data Factory Course is high paying job in the IT Industry.
- Azure Data Factory Course jobs are great in demand.
- To get placed into the top fortune companies.
- Detailed understanding of handling softwares.
- Facilitates the decision-making process.
In-Demand Skillset: Azure Data Factory is a highly sought-after skill in the industry, especially as more businesses migrate to the cloud. Learning Azure Data Factory equips you with a valuable skillset that is in high demand among employers.
Cloud-Based Data Integration: Azure Data Factory enables seamless data integration from various sources to Azure data services. By mastering Azure Data Factory, you gain the ability to orchestrate and automate data workflows in the cloud, enhancing efficiency and scalability in data management processes.
Integration with Azure Services: Azure Data Factory integrates seamlessly with other Azure services such as Azure Blob Storage, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse Analytics. Learning Azure Data Factory opens up opportunities to work with a wide range of Azure services, expanding your expertise in cloud computing.
Cost-Effectiveness: Azure Data Factory offers a pay-as-you-go pricing model, allowing businesses to scale resources based on demand and optimize costs. By learning Azure Data Factory, you can help organizations streamline data integration processes and reduce operational costs associated with managing on-premises infrastructure.
Scalability and Flexibility: Azure Data Factory provides scalability and flexibility to handle large volumes of data and accommodate changing business requirements. By mastering Azure Data Factory, you gain the skills to design and implement data integration solutions that scale with the needs of the organization, ensuring optimal performance and agility.
Real-Time Data Processing: Azure Data Factory supports real-time data processing capabilities, enabling organizations to ingest, process, and analyze streaming data in near real-time. Learning Azure Data Factory equips you with the skills to design and deploy real-time data pipelines, empowering businesses to make timely data-driven decisions.
Career Advancement: Acquiring expertise in Azure Data Factory can significantly enhance your career prospects in roles such as data engineer, cloud architect, data analyst, and business intelligence developer. By adding Azure Data Factory to your skillset, you position yourself as a valuable asset in the competitive job market.
Continuous Innovation: Microsoft Azure continuously innovates and enhances its cloud services, including Azure Data Factory, with new features and updates. By staying abreast of the latest developments and advancements in Azure Data Factory, you can remain competitive and adapt to evolving industry trends.
At the completion of the course you will get experiential knowledge in – Azure Data Factory.
- Resource Group
- Tags
- SQL server
- SQL database
- Storage account
- Data Factory
- Logic apps
- Key Vault
- Data Bricks
- Synapse Analytics
- Cost management and billing
- GitHub
- Azure Data Studio
- Azure Storage Explorer
Job Opportunities Post Completing our Azure Data Factory Training
As for the recent update official Naukri currently number of jobs are available in Hyderabad, itself here are some of the Azure Data Factory job opportunities.
- Data Engineer
- Cloud Data Architect
- Business Intelligence Developer
- Data Analyst
- Big Data Engineer
- Machine Learning Engineer
- Data Integration Consultant
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