Data Engineering · Azure & Microsoft Fabric
Microsoft Fabric Data Engineer (DP-700) prep
Build modern data platforms with Azure & Microsoft Fabric
Start from SQL and Python, then build pipelines with Data Factory, process data at scale with Databricks and Spark, and land it in Delta Lake and Fabric lakehouses the way enterprise teams do.
- Program fee
- ₹25,000
- EMI available on credit cards
- Next batch
- Coming soon
- Timings
- 7 to 8:15 AM IST
- Weekday
- Duration
- 2.5 Months
- Live classes
Program fee
₹25,000
EMI available on credit cards
- Next batch
- Coming soon
- Timings
- 7 to 8:15 AM IST
- Weekday
- Duration
- 2.5 Months
- Live classes
- syllabus modules
- 20
- syllabus modules
- Azure & Fabric tools
- 15+
- Azure & Fabric tools
- certification prep
- DP-700
- certification prep
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- ADLS Gen2
- Databricks
- Delta Lake
- Fabric
Our alumni work at leading companies worldwide
+many more companies across India, the US & beyond
The stack
The Azure and Fabric data stack you will use
Today’s Azure data platforms and Microsoft’s newer unified Fabric platform, side by side, hands-on.
Ingest & orchestrate
- Azure Data Factory
- Fabric pipelines
- Dataflows Gen2
- Data Gateway
Store
- ADLS Gen2
- Blob Storage
- OneLake
Process
- Azure Databricks
- Apache Spark
- Spark SQL
- Spark Streaming
Lakehouse & warehouse
- Delta Lake
- Fabric Lakehouse
- Fabric Warehouse
- Synapse SQL pools
Hands-on in Microsoft Fabric
Real ingestion scenarios, end to end
The Fabric module is built around the scenarios data engineers hit on real projects. Alongside these you build mini projects and capstone projects across Azure and Fabric.
Step 01
APIs into the lakehouse
Copy data from a REST API into a Fabric Lakehouse using bearer-token authentication, and move folders over from ADLS Gen2.
Step 02
On-premises SQL Server to Fabric
Ingest from on-premises SQL Server through the data gateway, into a Lakehouse and incrementally into a Warehouse.
Step 03
Dynamic multi-table loads
Copy many tables from Azure SQL Database into the Lakehouse with one parameterized, dynamic pipeline.
Step 04
Logged, end-to-end pipelines
Log pipeline runs to a Warehouse table with stored procedures, and tie it together with Data Factory pipelines and Dataflows Gen2.
Who it's for
Built for people moving into data engineering
Database engineers
Move beyond traditional RDBMS into Azure SQL, Synapse, and Fabric Lakehouse.
Big data / Hadoop engineers
Upskill into Azure Databricks, Delta Lake, and Fabric pipelines.
ETL / data warehouse engineers
Design scalable pipelines with Azure Data Factory and Fabric Dataflows.
Application programmers
Work with streaming data and analytics.
Test engineers
Transition into high-growth data engineering roles on Azure.
Data analysts / Power BI developers
Step into end-to-end engineering and automation with Fabric.
Fresh graduates with an interest in cloud and data can join too: we start from fundamentals and build step by step.
Curriculum
What you'll learn
20 syllabus modules, from SQL and Python to DP-700, grouped into nine areas.
- 01
Data engineering, SQL, and Python foundations
Syllabus M1–M3Understand the role, get started on Azure, and build the SQL and Python every data engineer needs.
- Azure & big data intro
- Joins & CTEs
- Window functions
- Query optimization
- Python collections & OOP
- 02
Azure Data Factory pipelines
Syllabus M4Build, parameterize, schedule, and monitor production pipelines.
- Linked services & datasets
- Schedule, tumbling & event triggers
- Self-hosted integration runtime
- Control-flow activities
- Alerts & monitoring
- 03
Mapping Data Flows and ADF CI/CD
Syllabus M4Transform data visually at scale, and ship factories through Git and CI/CD.
- Joins, lookups & aggregates
- Pivot, window & alter row
- Schema drift
- Flowlets
- GitHub / Azure DevOps Git
- CI/CD
- 04
Azure Synapse Analytics
Syllabus M5Query and model data with serverless and dedicated SQL pools and Spark pools.
- Serverless & dedicated SQL pools
- Spark pools
- Distributions
- External tables
- CETAS / CTAS
- 05
Azure Databricks
Syllabus M6Work in Databricks the way teams do, with secure access to your data lake.
- Workspaces & DBFS
- dbutils & widgets
- Mount points
- Key Vault secret scopes
- Service principal & SAS access
- 06
Apache Spark internals
Syllabus M7–M11Understand how Spark runs your code so you can make it fast.
- Driver & executors
- Execution modes
- RDDs, transformations & actions
- Cache & persist
- Broadcast & accumulators
- Logical & physical plans
- 07
DataFrames, Spark SQL, and streaming
Syllabus M12–M15Process batch and streaming data with DataFrames and Spark SQL.
- DataFrame operations
- CSV, JSON, Parquet & ORC
- Spark SQL & UDFs
- Structured Streaming
- Stateful processing
- 08
Data lake, Key Vault, and Delta Lake
Syllabus M16–M18Build a secure data lake and reliable Delta tables on top of it.
- ADLS Gen2 & Blob Storage
- Azure Key Vault
- Schema enforcement & evolution
- Time travel & vacuum
- MERGE: SCD Type 1 & 2
- 09
Microsoft Fabric and DP-700
Syllabus M19–M20Build lakehouses and warehouses in Fabric, and prepare for the Fabric Data Engineer exam.
- Lakehouse vs warehouse
- OneLake
- Fabric pipelines & Dataflows Gen2
- Spark in Fabric
- DP-700 prep
Outcomes
Where it leads
Certification path
- Microsoft Certified: Fabric Data Engineer Associate (DP-700)
Roles this prepares you for
- Azure Data Engineer
- Fabric Data Engineer
- Big Data Engineer
- Data Platform Engineer
Frequently asked questions
No prior experience is required. The program starts from the basics with SQL and Python and gradually moves to advanced topics, so it suits beginners and experienced professionals alike.
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