Microsoft Fabric Training in Hyderabad Built on DP-600
Microsoft Fabric training in Hyderabad is instructor-led training in building analytics solutions on Fabric — OneLake, Lakehouse, Warehouse, Data Factory, Real-Time Intelligence and Direct Lake semantic models. AzureTrainings runs classroom batches in KPHB, Kukatpally and live online batches, structured around DP-600 (Fabric Analytics Engineer Associate), the exam for analytics engineering on Fabric.
Course snapshot
Microsoft Fabric Training in Hyderabad — Quick Facts
Everything a prospective learner asks a counsellor in the first two minutes.
Course
Microsoft Fabric Training
Location
JNTU / KPHB, Hyderabad
Training mode
Classroom + live online
Duration
2 months
Certification target
Microsoft Certified: Fabric Analytics Engineer Associate — DP-600
Real-time projects
4 projects in a live Fabric workspace
Key workloads
OneLake, Lakehouse, Warehouse, Data Factory, Real-Time Intelligence, Power BI
Language support
English, Telugu and Hindi
Prerequisites
Working SQL. Power BI experience helps but is not required.
Batch size
Limited, so the trainer can see every screen
Placement support and career outcomes
What we do, stated plainly, and what we do not claim.
What we actually do
Resume and LinkedIn rebuilt around Fabric work you have shipped, mock interviews with the trainer, and interview preparation on the questions this role is actually asked.
What we do not claim
We do not quote a placement percentage and we do not guarantee a job. No institute can evidence either, and the ones that publish a number rarely explain how it was counted.
Who hires these skills
Hyderabad's capability centres and consultancies run Microsoft-stack analytics. Fabric adoption is what creates the openings; your portfolio is what gets you shortlisted.
Companies hiring Microsoft-stack analytics professionals in Hyderabad include the firms below. They are not partners of, or affiliated with, Azure Trainings.
TCS
Infosys
Wipro
Accenture
Cognizant
Capgemini
Deloitte
Tech Mahindra
Why choose this Microsoft Fabric institute in Hyderabad
Every reason below is something you can verify before you pay.
Taught in a live workspace
Sessions run inside the Fabric portal, not on slides. Every concept is built, broken and fixed while you watch, then repeated by you.
Built on the published exam
Modules map to the four DP-600 skill areas and Microsoft's own weightings, so revision time goes where the marks are.
Honest about the boundaries
Where Fabric does not yet replace Synapse or ADF, we say so. Where Direct Lake silently falls back, we show you the failure rather than the happy path.
Capacity and cost included
F SKUs, capacity units and the metrics app. The part most courses skip, and the part that causes the first argument with finance.
A named trainer
One trainer for the batch, named on this page, with a public LinkedIn profile you can check before you enrol.
Small batches
Limited seats so the trainer can watch your screen when your notebook fails, which is when the learning happens.
Microsoft Fabric Course Syllabus — 13 Modules
Mapped to the four DP-600 skill areas as Microsoft publishes them.
01 Fabric, OneLake and the workspace model
You will cover: What Fabric replaces, and what it does not · OneLake as the single copy of the data · Workspaces, items and domains · Capacity and F SKUs — what you are paying for · The OneLake catalog and the Real-Time hub
02 Getting data into Fabric
You will cover: Creating a data connection · Shortcuts versus copying data · Choosing between Lakehouse, Warehouse and Eventhouse · OneLake integration for Eventhouse and semantic models · Ingestion patterns and when each one is wrong
03 Data Factory in Fabric
You will cover: Pipelines and activities · Dataflows Gen2 · Copy job and incremental patterns · Parameterisation and scheduling · Monitoring and failure handling
04 Lakehouse and Spark
You will cover: Delta tables and the files/tables split · PySpark notebooks for transformation · The medallion layout in practice · Spark job definitions · V-Order and table maintenance
05 Warehouse and T-SQL
You will cover: Warehouse versus the SQL analytics endpoint · Views, functions and stored procedures · Cross-database queries · Loading patterns and staging · Performance troubleshooting
06 Transforming and shaping data
You will cover: Implementing a star schema for a lakehouse or warehouse · Denormalising and aggregating · Merges, joins and de-duplication · Handling nulls and type conversion · Enriching with new columns and tables
07 Querying: SQL, KQL, DAX and the visual editor
You will cover: Visual query editor · SQL against the analytics endpoint · KQL over Eventhouse data · DAX against semantic models · Choosing the right language for the question
08 Real-Time Intelligence
You will cover: Eventstreams and Eventhouse · KQL databases and querying · Real-Time dashboards · Data Activator alerts · When streaming is genuinely required
09 Semantic models and Direct Lake
You will cover: Storage modes and when each applies · Star schema for a semantic model · Relationships, bridge and many-to-many · Direct Lake on OneLake versus on the SQL analytics endpoint · Fallback and refresh behaviour
10 Advanced DAX and model performance
You will cover: DAX variables, iterators and table filtering · Windowing and information functions · Calculation groups, dynamic format strings and field parameters · Composite and large-format models · Incremental refresh
11 Security and governance
You will cover: Workspace-level and item-level access · Row, column, object and file-level security · Sensitivity labels · Endorsing and certifying items · Who can see what, and proving it
12 Lifecycle and deployment
You will cover: Git integration for a workspace · Power BI Desktop projects (.pbip) · Deployment pipelines across environments · Impact analysis on downstream dependencies · XMLA endpoint deployment, .pbit and .pbids reuse
13 Capstone projects and DP-600 preparation
You will cover: End-to-end build: ingest, model, serve, secure · Exam-style scenario questions · Timed practice against the four skill areas · Resume and portfolio review · Mock interviews
Fabric workloads you will actually use
Each workload, what it does, and where it shows up in the modules and projects.
Workload
Purpose
Where you use it
OneLake
One storage layer for the whole tenant
Every module from 1 onward
Lakehouse
Delta tables plus a files area, queried by Spark or SQL
Modules 4, 6 and the capstone
Data Warehouse
Full T-SQL warehouse with a SQL endpoint
Modules 5 and 6
Data Factory
Pipelines and Dataflows Gen2 for ingestion
Module 3, all four projects
Spark notebooks
PySpark transformation in the Lakehouse
Module 4, projects 1 and 2
Eventstream
Streaming ingestion into Fabric
Module 8, project 3
Eventhouse / KQL
Time-series store and query language
Module 8, project 3
Data Activator
Threshold alerting on streaming data
Module 8, project 3
Power BI
Reports over Fabric semantic models
Modules 9 and 10
Direct Lake
Serving Delta tables without import or DirectQuery
Modules 9 and 10
Deployment pipelines
Dev, test and production releases
Module 12, project 4
Git integration
Source control for a workspace
Module 12, project 4
Sensitivity labels
Classification and protection on items
Module 11, project 4
Capacity metrics app
Finding what is consuming capacity units
Module 1 and throughout
Microsoft Fabric skills you will learn
Ten concrete capabilities you walk out with.
Decide where data belongs
Lakehouse, Warehouse or Eventhouse — and defend the choice when someone senior disagrees.
Build a medallion layout that survives
Bronze to gold in a real workspace, with table maintenance that keeps it fast.
Model for Direct Lake
A star schema that actually falls into Direct Lake instead of silently reverting to DirectQuery.
Write DAX that performs
Variables, iterators, calculation groups, and the habit of measuring before and after.
Secure a workspace properly
Row, column, object and file-level access, sensitivity labels, endorsement.
Ship without breaking reports
Git, deployment pipelines and impact analysis before you release.
Read the capacity metrics app
Find what is burning capacity units and fix it before finance asks.
Query in four languages
SQL, KQL, DAX and the visual editor, picking the right one each time.
Migrate from Synapse or ADF
Map an existing pipeline or warehouse onto Fabric equivalents, and name what does not map.
Explain Fabric to a stakeholder
What it costs, what it replaces, and what it will not fix.
Real-time Fabric projects you will build
Four builds in a live Fabric workspace. Each one produces something you can open in an interview.
Retail sales lakehouse, end to end
Ingest daily sales and returns from flat files and an Azure SQL source, build bronze, silver and gold layers in a Lakehouse, then serve a Direct Lake semantic model to a Power BI report.
Warehouse migration from Synapse
Take an existing star schema in a dedicated SQL pool and rebuild it as a Fabric Warehouse, comparing load patterns and query performance side by side.
Real-time operations dashboard
Stream device events through an Eventstream into an Eventhouse, query with KQL, build a Real-Time dashboard and raise a Data Activator alert on a threshold.
Governed release across environments
Put a workspace under Git, build dev, test and production deployment pipelines, apply row-level security and sensitivity labels, and run an impact analysis before release.
Who can join this Microsoft Fabric training?
One requirement: working SQL. Everything else is taught.
Power BI developers
You build reports and models already, and the data behind them is moving into Fabric.
SQL and BI developers
T-SQL and star schemas transfer directly. Fabric changes where data sits, not the modelling skill.
Azure data engineers
You work in ADF or Synapse and need the Fabric equivalents, plus the analytics side.
Data analysts
You have outgrown Excel and Power BI Desktop and want to own the model, not just the report.
Teams migrating to Fabric
Capacity is bought and nobody is sure how to run it. Workspaces, domains, governance and cost.
Career switchers with SQL
You can already write SQL. That is the entry requirement; everything else is taught.
Microsoft Fabric certification in Hyderabad: DP-600
The exam this course prepares you for, with Microsoft’s own published weightings.
Prepare data
45–50% of the exam
Get data, transform it, and query it with SQL, KQL, DAX or the visual editor. The largest section by some distance.
Maintain a data analytics solution
25–30% of the exam
Security and governance, plus version control, deployment pipelines and impact analysis.
Implement and manage semantic models
25–30% of the exam
Star schemas, relationships, advanced DAX, Direct Lake configuration and incremental refresh.
Weightings come from Microsoft’s DP-600 study guide. Microsoft revises exams without much notice, so check the study guide before you book — and check the fee there too, rather than trust a number from any institute, including this one.
DP-600 or DP-700 — which one?
DP-600 (this course)
DP-700
What it certifies
Analytics engineering on Fabric
Data engineering on Fabric
Exam code
DP-600
DP-700
Credential
Fabric Analytics Engineer Associate
Fabric Data Engineer Associate
Centre of gravity
Semantic models, DAX, Direct Lake, serving data
Pipelines, Spark, ingestion, orchestration
Suits
Power BI and BI developers
Data engineers and ETL developers
Taught on
This Microsoft Fabric course
The Azure Data Engineer course
Both are Fabric certifications and they overlap. Say what you do now on the demo call and we will tell you plainly which fits — including when the answer is the Azure Data Engineer course instead of this one.
Your trainer
Every batch is taught live by a named trainer you can look up before you enrol.
Bharat Sriram, lead trainerBharat Sriram
Azure Cloud Architect · Lead Trainer · 15+ years
Bharat has spent 15+ years building cloud and AI systems for enterprise teams before teaching them, and has delivered Azure projects across Hyderabad, Bangalore and US-based engagements since 2010. His sessions run in the portal and the editor rather than on slides, with deep expertise in OneLake, Lakehouse and Warehouse design, and Direct Lake semantic models.
15+
Years industry experience
1,329+
Students trained since 2010
4
Microsoft & Databricks certifications
Placement support: resume building, LinkedIn setup, mock interviews and interview preparation for every learner. We do not quote a placement percentage, because no institute can evidence one.
Learning modes and upcoming batches
Two months, classroom in KPHB or live online with the same trainer.
15 Oct
2026
• Monday to Friday
• Evening batch
• Same trainer, same syllabus
18 Oct
2026
• Saturday and Sunday
• Morning batch
• Built for working professionals
Current fee: confirmed per batch by a counsellor on +91 98824 98844 or WhatsApp. We would rather quote you the live figure than publish one that goes stale.
Check us out before you enrol
We would rather you verify everything than take our word for it.
Read the reviews
Our Google reviews are public and each links to the original. Read them before you call.
Look up the trainer
Bharat's LinkedIn profile is public. Check the experience claimed on this page against it.
Sit in on a class
Attend a live session free, ask the trainer whatever you want, and decide afterwards.
Microsoft Fabric salary in Hyderabad
Indicative market ranges by role. These are estimates, not offers.
₹4–8 LPA
Indicative annual range, 1–3 years.
₹8–15 LPA
Indicative annual range, 3–6 years.
₹12–22 LPA
Indicative annual range, 5–8 years.
₹20–35 LPA
Indicative annual range, 8+ years.
Disclaimer. Figures are indicative market estimates and are not a guarantee of earnings. Actual pay depends on experience, skills, certifications, employer and interview performance. More detail in our Azure salaries in Hyderabad guide.
Career opportunities after Microsoft Fabric training
The roles this syllabus maps to.
Analytics engineer
Owns the model between raw data and the report: star schemas, DAX, Direct Lake, refresh.
Power BI developer (Fabric)
Reports and semantic models, now sourced from OneLake rather than imported extracts.
Fabric data engineer
Pipelines, Spark and ingestion. The DP-700 route — see the Azure Data Engineer course.
BI consultant
Advises on migration from Synapse, ADF or on-premise warehouses onto Fabric.
Data platform administrator
Capacity, workspaces, domains, governance and cost control.
Analytics lead
Owns the platform decisions, the release process and the conversation with finance.
More detail in our Azure job roles in Hyderabad guide.
From enrolment to interview-ready
13
Modules
4
Projects
DP-600
Certification track
Your career journey, mentored at every step.
From your first live session to your first interview, you have a named trainer accountable for the curriculum and a structure that does not leave gaps.
Enrol and onboard
Meet your trainer in the first live session. Roadmap and expectations set out clearly.
Get into the workspace
A Fabric workspace on day one. OneLake, capacity and items before any transformation.
Build the data layer
Ingest, Lakehouse, Warehouse and Spark, in a workspace you control.
Model and serve
Star schemas, DAX and Direct Lake, with the failure modes shown rather than avoided.
Secure and release
Row-level security, labels, Git and deployment pipelines across environments.
Ship the capstone
Four projects finished, reviewed and ready to open in an interview.
Certify and apply
DP-600 preparation, resume and LinkedIn rebuilt, mock interviews.
Microsoft Fabric roadmap: from SQL to certified
Six stages, and what you are actually accountable for in each.
Foundations
What everything else sits on. Assumed on day one, revised in week one.
The platform
Fabric itself: what it is, what it costs, and how the pieces relate.
Getting data in
Ingestion and transformation, batch and streaming.
Serving data
The part analytics engineers are paid for.
Running it safely
Security, governance and release.
Proving it
Certification and portfolio.
How this institute differs from other Fabric training institutes in Hyderabad
Category-level comparison. We do not name competitors.
Feature
This institute
Commonly seen elsewhere
Trainer
One named trainer, public LinkedIn
Often rotated, rarely named
Where sessions run
Inside a live Fabric workspace
Slides and recorded playback
Syllabus basis
Microsoft's published DP-600 skill areas
Generic Power BI content relabelled
Capacity and cost
Taught, including the metrics app
Usually skipped
Failure modes
Direct Lake fallback shown deliberately
Happy path only
Placement claim
Support described, no percentage quoted
100% placement claimed
Batch size
Limited
Large
Fees
Quoted per batch by a counsellor
Advertised, then revised
Why Microsoft Fabric is a strong career move in Hyderabad in 2026
Three things specific to this city and this year.
Hyderabad runs on Microsoft
The capability centres and consultancies here are overwhelmingly Microsoft-stack. Fabric adoption lands in Hyderabad early.
The credential is specific
DP-600 is asked for by name. A defined, examinable target beats a vague requirement for “Power BI experience”.
It branches, it does not dead-end
Analytics engineering leads into data engineering, platform administration or architecture.
Where do I start? SQL, then the platform, then ingestion, then semantic models, then governance, then the exam. In that order.
Frequently asked questions
The twelve questions counsellors are asked most about this course.
Which Fabric certification should I take — DP-600 or DP-700?
DP-600 (Fabric Analytics Engineer Associate) if you come from Power BI, SQL or BI development and your work ends in a report or semantic model. DP-700 (Fabric Data Engineer Associate) if your work is pipelines, Spark and ingestion. This course prepares you for DP-600; our Azure Data Engineer course covers DP-700.
Do I need Power BI experience to join?
No, but you do need working SQL. Power BI concepts are taught from Module 9 onward. If you have never written a SELECT with a JOIN, tell the counsellor before enrolling so we can place you correctly.
Is Microsoft Fabric replacing Azure Synapse and Azure Data Factory?
Fabric brings equivalents of both under one SaaS product with OneLake underneath. Plenty of organisations still run Synapse and ADF and will for years. We teach the Fabric equivalents and are explicit about where the mapping is not one-to-one.
What does the DP-600 exam cost?
Microsoft sets and changes the price, and it varies by country. Check the exam page on Microsoft Learn for the current figure rather than trust a number from any institute, including this one. The fee is paid to Microsoft, not to us.
How long is the course?
Two months. That assumes you are comfortable with SQL on day one; if you are not, expect extra hours during the first three modules.
Do you provide a Fabric workspace for practice?
You work in a Fabric workspace during sessions. Microsoft also offers a Fabric trial and free Power BI Desktop, and we show you how to set both up so you can practise between classes.
What is Direct Lake, and why does it get a whole module?
Direct Lake lets a semantic model read Delta tables in OneLake directly, without importing or issuing DirectQuery calls. It is the biggest performance idea in Fabric analytics and the easiest to get subtly wrong, which is why we spend a module on when it falls back.
Is there placement support?
Resume building, LinkedIn setup, mock interviews and interview preparation. We do not quote a placement percentage, because no institute can evidence one.
Is Fabric worth learning if my company has not adopted it?
The modelling, SQL and DAX skills transfer whether or not your employer moves. The Fabric-specific parts are worth the time only if adoption is on the horizon. If it is not, the Azure Data Engineer course may be the better spend.
Do you teach capacity and licensing?
Yes. F SKUs, capacity units, what consumes them, and how to read the capacity metrics app.
Classroom or live online — which is better?
Same trainer and syllabus. Classroom suits learners who want the room and the questions around them; live online suits working professionals. Both are live, neither is recorded playback.
What if I miss a session?
Recordings are available for the course duration as a catch-up option. They are a safety net, not the course.
Ready to start with Microsoft Fabric?
Sit in on a live session before you commit. No obligation.
13
Curriculum modules
4
Real-time projects
DP-600
Current credential taught
Related reading
Microsoft Fabric vs Azure data engineering
Where the two overlap, and which one your role actually needs.
Microsoft Fabric for data pipelines in Azure
How pipelines change once OneLake is underneath them.
Azure Data Engineer training in Hyderabad
The DP-700 route, if pipelines rather than models are your work.
Visit or contact us
Our centre is in KPHB, Kukatpally, a short walk from JNTU College Metro Station.
Phone
Address
3rd Floor, Dr Atmaram Estates, near Metro Station JNTU College, beside Sri Bhramaramba Theatre, Jai Bharat Nagar, Hyder Nagar, Vasantha Nagar, Hyderabad, Telangana 500072
Hours
Monday to Saturday, 9:00 am – 8:00 pm