Cloud & Data Engineering

Microsoft Fabric Data Engineering Course in Hyderabad

Build lakehouses, pipelines and real-time data solutions in Microsoft Fabric

The Microsoft Fabric Data Engineering course teaches you to design and run data engineering solutions on Microsoft Fabric, following the skill areas of the Microsoft Fabric Data Engineer Associate (DP-700) exam: implementing and managing an analytics solution, ingesting and transforming data, and monitoring and optimising solutions. You work with OneLake, lakehouses and Delta tables, Fabric data warehouses, data pipelines and Dataflows Gen2, notebooks with PySpark and Spark SQL, shortcuts and mirroring, and real-time intelligence with Eventstreams and Eventhouse using KQL. You learn the medallion architecture, workspace and item security, Git integration and deployment pipelines, capacity and monitoring, and performance tuning. The course suits graduates, SQL developers and data professionals with basic SQL; Python and Spark are taught from the basics. Labs run in a Fabric trial or licensed workspace and the capstone delivers an end-to-end lakehouse with a Power BI report. Classes run in classroom batches at the GloryTecks centre in Ameerpet, Hyderabad, and in live online batches.

Duration
3 Months
Modules
13+ topics
Placement
100% Support
Certification
Industry Recognized

Syllabus

Fabric Fundamentals & OneLake

  • β€’What Microsoft Fabric is and how its experiences fit together
  • β€’Tenants, capacities, workspaces and licence options
  • β€’OneLake, Delta Parquet format and shortcuts
  • β€’Lab: Create a workspace and explore OneLake
  • β€’Outcome: Navigate Fabric and choose the right item for a task

SQL & Python Foundations

  • β€’SQL queries, joins and window functions
  • β€’Python and pandas essentials
  • β€’Dimensional modelling: facts, dimensions and star schema
  • β€’Lab: Transform a sample dataset using SQL and Python
  • β€’Outcome: Write the core logic used in data pipelines

Lakehouse & Delta Tables

  • β€’Lakehouse structure: Tables and Files
  • β€’Delta tables, V-Order, optimise and vacuum
  • β€’SQL analytics endpoint and default semantic model
  • β€’Lab: Load files into a lakehouse and query the tables
  • β€’Outcome: Build and query Delta-based lakehouses

Data Ingestion with Pipelines & Dataflows Gen2

  • β€’Fabric data pipelines, activities, parameters and triggers
  • β€’Copy data from databases, files and APIs
  • β€’Dataflows Gen2 with Power Query transformations
  • β€’Lab: Ingest data from SQL and CSV sources into the lakehouse
  • β€’Outcome: Choose between pipelines, dataflows and notebooks for ingestion

Notebooks, PySpark & Spark SQL

  • β€’Notebooks, Spark pools and environments
  • β€’PySpark DataFrames and Spark SQL transformations
  • β€’Writing Delta tables, merge and incremental processing
  • β€’Lab: Build a notebook that cleans and merges raw data
  • β€’Outcome: Process large datasets with Spark in Fabric

Medallion Architecture & Data Modelling

  • β€’Bronze, silver and gold layer design
  • β€’Slowly changing dimensions and upsert patterns
  • β€’Incremental loading and data quality checks
  • β€’Lab: Build a three-layer pipeline for a sales dataset
  • β€’Outcome: Structure data for reliable analytics

Fabric Data Warehouse

  • β€’Warehouse versus lakehouse: when to use each
  • β€’T-SQL, COPY INTO, stored procedures and views
  • β€’Cross-database queries and warehouse performance
  • β€’Lab: Load gold tables into a warehouse and expose views
  • β€’Outcome: Serve curated data using a warehouse

Real-Time Intelligence

  • β€’Streaming concepts and Eventstreams sources and destinations
  • β€’Eventhouse, KQL databases and Kusto Query Language basics
  • β€’Real-Time Dashboards and alerts overview
  • β€’Lab: Stream sample events into an Eventhouse and query them
  • β€’Outcome: Build real-time ingestion and analysis

Shortcuts, Mirroring & Integration

  • β€’Shortcuts to ADLS Gen2, Amazon S3 and other lakehouses
  • β€’Mirroring databases into OneLake
  • β€’Integration with Power BI Direct Lake mode
  • β€’Lab: Create shortcuts and mirror a database
  • β€’Outcome: Reuse data without copying it unnecessarily

Security & Governance

  • β€’Workspace roles and item-level permissions
  • β€’Row-level, column-level and object-level security; dynamic data masking
  • β€’Sensitivity labels, endorsement and Microsoft Purview integration
  • β€’Lab: Restrict a warehouse table by role and apply a label
  • β€’Outcome: Secure Fabric items and data

Lifecycle Management & Orchestration

  • β€’Git integration with Azure DevOps or GitHub
  • β€’Deployment pipelines across dev, test and production
  • β€’Scheduling, notebook orchestration and variable libraries
  • β€’Lab: Promote items from development to test
  • β€’Outcome: Manage Fabric solutions like software

Monitoring & Performance Optimisation

  • β€’Monitoring hub, run history and alerts
  • β€’Capacity Metrics app and managing capacity usage
  • β€’Optimising Spark, Delta tables, pipelines and warehouse queries
  • β€’Lab: Diagnose a slow notebook and a slow query
  • β€’Outcome: Find bottlenecks and control capacity use

Capstone & Exam Readiness

  • β€’Capstone: lakehouse, pipelines, notebooks, warehouse and Power BI report
  • β€’Review of the DP-700 skill areas with scenario questions
  • β€’Portfolio write-up and interview practice
  • β€’Outcome: A portfolio solution and a study plan for the vendor exam

Tools Covered

Microsoft FabricOneLakeFabric LakehouseFabric Data WarehouseFabric Data PipelinesDataflows Gen2Fabric NotebooksApache SparkPySparkSpark SQLDelta LakeEventstreamsEventhouseKusto Query LanguageT-SQLPower BIPower QueryGitAzure DevOpsGitHubPython

Projects Included

  • Sales Lakehouse: Ingest CSV and database data into a lakehouse and build bronze, silver and gold Delta tables; deliverable is a documented medallion pipeline.
  • Incremental Warehouse Load: Load gold data into a Fabric warehouse with stored procedures and views; deliverable is a warehouse with a test script.
  • Real-Time Monitoring Stream: Stream sample sensor events into an Eventhouse and query with KQL; deliverable is a real-time dashboard.
  • Secure Shared Workspace: Apply roles, row-level security and sensitivity labels to a curated dataset; deliverable is a security matrix and tested access.
  • Capstone Fabric Solution: Build the end-to-end solution with Git and deployment pipelines plus a Power BI report; deliverable is a GitHub repository and demo.

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Prerequisites & Eligibility

Understand the foundation and skills needed to succeed in the Microsoft Fabric Data Engineering course.

Course Prerequisites

  • Any graduate is eligible for enrollment across all program tracks
  • Dedication to work on real-time scenario projects and live client project implementations
  • Willingness to engage in aptitude, soft skills and interview readiness sessions
  • Commitment to complete full-day training or intensive/internship program schedules
Special Note: The Microsoft Fabric Data Engineering course is designed for aspiring professionals. Our trainers and counselors will provide personalised guidance to help you start your Microsoft Fabric Data Engineering journey, with placement assistance available across multiple program options.

Why Choose GloryTecks

Build practical capabilities through structured learning, expert mentors and hands-on projects.

5+
Years Experience
800+
Students Trained
50+
Hiring Partners
95%
Placement Rate

5+ Years of Excellence

Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.

Expert Faculty

Learn from trainers with real-world industry experience, who teach the way the work is actually done.

Placement Assistance

A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.

Comprehensive Curriculum

Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.

Career Growth Focus

Not just training, but complete career transformation with soft skills and interview preparation.

Online & Classroom

Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.

Flexible Batches

Weekday, weekend and online batch timings to suit working professionals, students and freshers.

Real-time Projects

Work on real-time scenario projects so you finish with practical experience to show employers.

We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.

Certification

Explore certification and practical learning opportunities with a focus on Microsoft Fabric Data Engineering.

Certificate of Completion

Microsoft Fabric Data Engineering

This certifies that

[Your Name]

has successfully completed the

Microsoft Fabric Data Engineering
Training Program

GloryTecks

Ameerpet, Hyderabad

Certificate ID

GT-YYYY-XXXX

Certificate Includes

  • Course completion certificate from GloryTecks
  • Project completion certificates
  • Internship completion certificate for eligible internship programs
  • Digital certificate with a unique verification ID
  • Shareable on LinkedIn and other professional platforms
  • Valid proof of skill acquisition for employers
  • Includes the detailed syllabus covered

Industry Focus

A certificate built around the tools and skills employers ask for, adding credibility to your resume.

Skill Validation

Proves your expertise in the course and the technologies you worked with.

Career Advancement

Strengthens your profile when you apply for jobs and negotiate your salary.

Digital & Physical

Get a digital certificate for online sharing and a physical copy for framing.

Course Certificate

Upon successful completion of the training program

Project Certificate

For major projects completed during training

Course Features & Highlights

Build a strong foundation through a structured Microsoft Fabric Data Engineering course with practical learning and hands-on exposure.

Live Projects

Work on real-world projects from day one with industry use cases.

Expert Trainers

Learn from industry professionals with real-world experience.

Placement Support

Dedicated placement team with assistance until you get hired.

Industry Certification

Get certified and boost your resume with recognized credentials.

LMS Access

Access to learning materials and recorded sessions.

Mock Interviews

Weekly mock interviews to prepare you for real job scenarios.

Resume Building

Professional resume preparation and LinkedIn profile optimization.

Additional Benefits

  • Flexible Payment Plans
  • 6-12 Months LMS Access
  • Doubt Clearing Sessions
  • 24/7 Learning Support

Frequently asked questions

What does the Microsoft Fabric Data Engineering course syllabus cover?

13 sections: Fabric Fundamentals & OneLake, SQL & Python Foundations, Lakehouse & Delta Tables, Data Ingestion with Pipelines & Dataflows Gen2, Notebooks, PySpark & Spark SQL, Medallion Architecture & Data Modelling, Fabric Data Warehouse, Real-Time Intelligence, Shortcuts, Mirroring & Integration, Security & Governance, Lifecycle Management & Orchestration, Monitoring & Performance Optimisation and Capstone & Exam Readiness. It includes 5 projects: Sales Lakehouse, Incremental Warehouse Load, Real-Time Monitoring Stream and 2 more.

Do I need a paid Fabric licence?

Labs use a Fabric trial or a capacity that you or the institute arrange where available. Trial availability and terms are set by Microsoft and can change, so confirm with a counsellor.

Does this course prepare me for the DP-700 exam?

The modules follow the DP-700 skill areas: implementing and managing analytics solutions, ingesting and transforming data, and monitoring and optimising. The exam is taken with Microsoft and no pass is guaranteed.

Is Fabric Data Engineering different from Fabric Analytics Engineer?

Data engineering focuses on ingestion, transformation, pipelines and optimisation. Analytics engineering focuses on semantic models, DAX, reports and data exploration. Both can be taken in sequence.

Do I need to know Python or Spark?

No. Python and PySpark are taught from the basics, and SQL is revised in the first weeks.

How does this relate to Azure Data Engineering?

Fabric unifies services such as Data Factory, Synapse and Power BI in one SaaS platform. The Azure Data Engineering course teaches the individual Azure services.

Is Power BI covered?

Power BI is used for Direct Lake reports and the capstone, but full modelling and DAX are covered in the Power BI and Fabric Analytics Engineer courses.

What job roles use Fabric skills?

Roles include Fabric data engineer, data engineer and analytics engineer. Fabric is newer than other platforms, so employers vary, and no outcome is guaranteed.

How long is the Microsoft Fabric Data Engineering course at GloryTecks, and how many hours a week?

The Microsoft Fabric Data Engineering course runs 3 months. Hours per week depend on the batch you join: weekday and weekend batches are available, online and at the Ameerpet centre. A counsellor gives you the timetable for the batch you choose.

Is the Microsoft Fabric Data Engineering course available as live online training?

Yes. The Microsoft Fabric Data Engineering course runs in live online batches as well as classroom batches at the GloryTecks centre in Ameerpet, with recorded session access.

What is the fee for the Microsoft Fabric Data Engineering course in Hyderabad?

GloryTecks does not publish fees online; they vary by course and by batch. Call +91 99080 99980 or visit the Ameerpet centre for the current Microsoft Fabric Data Engineering fee and the ways to pay it.

Will I get a certificate after the Microsoft Fabric Data Engineering course?

Yes. You receive a GloryTecks course completion certificate. Vendor certifications, for example from Microsoft, AWS or Google, are separate exams that you book and take directly with the vendor; a counsellor can tell you which one, if any, matches this syllabus.

What placement support do Microsoft Fabric Data Engineering students get?

Placement support at GloryTecks means career counselling, resume and ATS-friendly CV preparation, a LinkedIn profile review, mock interviews and introductions to hiring companies. It is support with the job search, not a guarantee of a job.

Best Microsoft Fabric Data Engineering Training in
Ameerpet, Hyderabad

Located at Ameerpet β€” Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.

611, Annapurna Block, Aditya Enclave, Ameerpet, Hyderabad – 500038, Telangana, India
Mon–Sat: 8AM – 9PM | Sunday: 9AM – 5PM
Get Directions

Placement Support

Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include Fabric Data Engineer, Data Engineer, Analytics Engineer, Lakehouse Developer; support is guidance with the job search, not a guarantee of a job.

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