Health Care Insurance
Ingest claims and policy data into OneLake, transform it with PySpark notebooks, model it in a Warehouse and report through Power BI.
- Ingestion
- Transformation
- Modelling
- Reporting
- Deployment
Best Azure Data Engineer Training in Hyderabad
Looking for the best institute for Microsoft Azure Data Engineer training in Hyderabad? Eclasess in KPHB teaches Azure Data Factory, Databricks, Synapse and Microsoft Fabric, with two end-to-end projects and placement support. Trainers have 10+ years of industry experience. Attend a free demo before you enrol.
90 hrs60 training + 30 placement
2 projectsFabric and Azure, end to end
200+ tasksScenario-based, in 10 Agile sprints
100+ questionsInterview Q&A with answers
Key takeaways
- 90 hours across 3 months: a 60-hour training program plus a 30-hour placement program.
- Covers Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, KQL), Azure (Data Factory, Databricks, Synapse), PySpark and Power BI.
- Includes DP-700 certification guidance and daily class recordings.
- Two end-to-end projects: healthcare insurance in Fabric, retail sales in Azure.
- Classroom in KPHB, Hyderabad, and live online. Fee ₹25,000.
What is the Microsoft Fabric & Azure Data Engineering course?
It is a 90-hour program that teaches you to build and deploy data pipelines on Microsoft Fabric and Azure. It runs as 60 hours of live training plus a 30-hour placement program, and covers SQL, Python, PySpark, Power BI and DP-700 preparation.
Who should join?
- Graduates with basic SQL knowledge
- Working IT professionals moving into data engineering
- Power BI and SQL developers adding cloud skills
- Support and testing engineers changing track
No prior Azure experience is required. The course begins with Python and SQL fundamentals before moving to Fabric.
Azure Data Engineer online and classroom training
This course equips you to do big data engineering on Microsoft cloud services. You learn to build pipelines with Azure Data Factory, connect Power BI to a data lake, and deploy real-time industry use cases into working pipelines. Learn Azure Data Factory from Microsoft-experienced trainers.
- ADF certification training built with industry experts and certified trainers
- Trainers with 10+ years of industry experience
- Eclasess has worked as a training partner for corporations across the globe
- Live practical exposure through tasks and assignments, not just live sessions
- Online classes, classroom training and self-paced recorded sessions
How the 90 hours are split
You learn the tools first, then practise them on real scenarios. The two programs run one after the other across 3 months.
60 hrs
Training program · one live class every weekday
Learn the platform
Starts with Python and SQL fundamentals, then moves through Microsoft Fabric services, Azure data services and Power BI.
- Every session recorded, with written notes
- DP-700 guidance runs alongside the syllabus
- A missed class never puts you behind the batch
30 hrs
Placement program · weekends after training
Practise for the job
- 10 Agile sprints, 200+ scenario-based tasks
- Two end-to-end projects
- 100+ interview questions with answers
- Resume preparation and mock interviews with the trainer
Two production-style projects
Each project runs end to end, so you can explain the full architecture in an interview.
Retail Sales
Move sales data with Data Factory into Data Lake Gen2, transform it in Databricks, serve it from Synapse and ship it through Azure DevOps CI/CD.
- Ingestion
- Transformation
- Modelling
- Reporting
- Deployment
Microsoft Fabric vs Azure Data Engineering
Fabric is a single SaaS platform that bundles storage, engineering, warehousing and Power BI on OneLake. Azure data engineering assembles separate services into a pipeline. Eclasess teaches both, because most Indian employers still run both.
| Aspect | Microsoft Fabric | Azure Data Engineering |
|---|---|---|
| What it is | One SaaS platform with storage, engineering, warehousing and BI in a single workspace | A set of separate Azure services you assemble into a pipeline |
| Storage | OneLake: one copy for the whole tenant | Data Lake Gen2 / Blob Storage, configured per project |
| Ingestion | Fabric Data Pipelines, Dataflow Gen2, Mirroring | Azure Data Factory pipelines and copy activities |
| Transformation | Notebooks with PySpark, Dataflow Gen2 | Azure Databricks notebooks, ADF mapping data flows |
| Warehousing | Fabric Warehouse, Lakehouse SQL analytics endpoint | Synapse dedicated and serverless SQL pools |
| Reporting | Power BI built into the same workspace | Power BI connected as a separate service |
| Deployment | Deployment pipelines inside Fabric | Azure DevOps Git repository and CI/CD |
| Best suited to | New builds and teams wanting one platform | Organisations with an existing Azure estate |
Full course syllabus
Grouped by stage. Open any module for the detailed topics.
Foundations
Python and SQL from scratch
Python: variables, data types, loops, functions, NumPy and Pandas. SQL: DML and DDL commands through joins, CTEs and stored procedures.
- Basic Python
- Basic SQL
- NumPy
- Pandas
- Joins
- CTEs
- Stored procedures
Microsoft Fabric
Setup, OneLake and Lakehouse
- Fabric and Azure data engineering roadmap
- Creating free Azure and Fabric subscriptions
- Creating Fabric capacity in Azure, and a workspace with capacity assigned
- OneLake overview, Lakehouse creation, SQL analytics endpoints, shortcuts
Databases, mirroring and Warehouse
- Creating Azure SQL Database and SQL Database in Fabric
- Mirroring Azure SQL Database and Snowflake Database into Fabric
- Creating a Warehouse in Fabric
- T-SQL to load data into the Warehouse
Data pipelines
- Copying data between Lakehouse files, tables and Warehouse tables
- Copying single and multiple tables from on-prem SQL to Lakehouse (files and tables)
- Incremental loading for single and multiple tables from on-prem SQL Server
- Conditional pipelines: file-exists checks, email notifications, type-based loading, Until activity, scheduling
PySpark notebooks and Delta Lake
- Spark session and DataFrame basics
- Reading CSV, Parquet, JSON and Delta; select, alias, withColumn, drop
- Filtering, conditional columns, string and date functions, null handling, deduplication
- GroupBy, aggregations, joins (inner, left, right, full), window functions (rank, lead, lag, running totals)
- Pivot and unpivot, exploding arrays, sorting, nested JSON flattening, UDFs
- Delta Lake: merge/upsert, update, delete, time travel, incremental processing
- Performance optimisation, partitioning, caching, broadcast joins
- Scheduling notebooks
Dataflow Gen2 and KQL Database
- Dataflow Gen2: cleansing, transforms, merges, pivots, loading to Lakehouse and Warehouse
- KQL Database: telemetry storage, querying, time-series analysis, aggregation, joins, retention policies
Semantic model, AI Data Agents and Activator
- Semantic model: relationships, DAX measures, calculated columns, star schema, hierarchies, row-level security
- AI Data Agents: natural language querying, auto insights, data exploration
- Activator: monitoring Power BI data with no-code automation
Power BI reports and dashboards
- Reports and dashboards with drill-down, filters, slicers and publishing
- Power BI Desktop
- Power Query Editor
- Semantic Model
- DAX functions
- Calculations
Deployment
- Azure DevOps Git and deployment pipelines
- Version control and Dev–Test–Prod movement
Azure Data Engineering
Storage and Synapse
- Azure Storage Account (Blob and Data Lake Gen2)
- Azure SQL Database
- Synapse dedicated SQL pool setup, Synapse data warehouse and analytics
Azure Data Factory
- Introduction to Azure Data Factory
- Copying and incrementally loading data to Data Lake Gen2
- Mapping data flow transformations
- Scheduling pipelines with triggers
Azure Databricks
- Spark architecture, clusters and notebooks, Unity Catalog
- Connecting Databricks to Data Lake Gen2
- Delta Lake in Databricks
- Workflows and scheduling
Azure DevOps and CI/CD
- Azure DevOps Git repository
- CI/CD deployment process
Does this course prepare you for DP-700?
Yes. The syllabus maps to Microsoft Exam DP-700, Implementing Data Engineering Solutions Using Microsoft Fabric, and certification guidance runs alongside the training. Eclasess covers the exam objectives, question patterns and a preparation plan.
The exam itself is booked and paid for separately with Microsoft.
What jobs can you apply for after this course?
- Azure Data Engineer
- Microsoft Fabric Data Engineer
- ETL Developer
- Analytics Engineer
- Power BI Developer
The placement program's two end-to-end projects and 100+ interview questions are built around the technical rounds these roles use.
Frequently asked questions
What is the duration of the Microsoft Fabric and Azure Data Engineering course?
The course is 90 hours in total, delivered across 3 months – a 60-hour training program with one-hour live classes Monday to Friday, plus a 30-hour weekend placement program.
What is the course fee?
₹25,000. The fee includes all 90 hours, daily recordings, notes, both end-to-end projects, DP-700 guidance, resume preparation and mock interviews. There is no separate charge for course material or interview preparation.
Do I need programming experience to join?
No. The course starts with Python and SQL from fundamentals. Learners from testing, support, BI and non-IT backgrounds join this batch regularly.
Is there a free demo class?
Yes. Eclasess runs a free demo session before every batch so you can meet the trainer and see the syllabus before paying.
Does the course cover the DP-700 certification?
Yes. The syllabus maps to Exam DP-700 and certification guidance runs alongside the training. The exam is booked and paid for separately with Microsoft.
Is the training available online?
Yes. The same course runs as live online classes and as classroom training at KPHB, Hyderabad, with the same trainer and syllabus.
What projects will I work on?
Two end-to-end projects: a Health Care Insurance project built in Microsoft Fabric, and a Retail Sales project built in Azure Data Engineering.
Does Eclasess provide placement assistance?
Yes. The 30-hour placement program covers ten Agile sprints, 200+ scenario-based tasks, 100+ interview questions with answers, resume preparation and mock interviews.
What is the difference between Microsoft Fabric and Azure Data Engineering?
Fabric is one SaaS platform on OneLake covering storage, engineering, warehousing and Power BI. Azure data engineering assembles separate services such as Data Factory, Databricks and Synapse. The course covers both.
Which tools will I learn?
OneLake, Lakehouse, Fabric Warehouse, Pipelines, Notebooks with PySpark, Dataflow Gen2, KQL Database, Azure Data Factory, Azure Databricks, Azure Synapse, Azure DevOps Git and Power BI.
Do I get class recordings?
Yes. Every session is recorded and shared the same day, along with written class notes.
What are the prerequisites?
Basic computer literacy and a graduate degree in any stream. Python and SQL are taught from scratch inside the course.
Where is Eclasess located in Hyderabad?
Eclasess is at 3rd Floor, Alluri Trade Center, Near KPHB Metro Station, Metro Pillar No: 760, KPHB, Hyderabad, Telangana 500072.
What jobs can you apply for after this course?
Graduates typically apply for Azure Data Engineer, Microsoft Fabric Data Engineer, ETL Developer, Analytics Engineer and Power BI Developer roles.
When does the next batch start?
New batches open regularly for both classroom and online mode. Call +91-7997457228 or send an enquiry for the next available start date.
Azure Data Engineering training in other locations
Try a free demo class before you pay
Meet the trainer, see the syllabus and ask your questions. New classroom and online batches open regularly.