Engineer Enterprise-Scale Data Solutions with Microsoft Fabric
DP-700: Microsoft Fabric Data Engineer
Design, ingest, orchestrate, and secure end-to-end analytics pipelines — all within Microsoft Fabric’s unified data platform.
Duration: 4 days
Delivery Mode: Instructor-led (Physical Class)
HRDC Claimable: Yes
A regional telco needed to consolidate siloed data for real-time reporting. After switching to Microsoft Fabric and training their data team, they replaced multiple ETL tools with a single lakehouse model — reducing pipeline delays by 60% and reporting lags from days to minutes.
In 2024, a logistics company in Selangor transitioned from disparate Azure tools to Microsoft Fabric for unified analytics.
Outcome:
Replaced Data Factory, Synapse, and third-party tools with Fabric pipelines
Used Lakehouse and Real-Time Intelligence to deliver streaming dashboards
Saved RM150k annually in licensing and integration costs
Design modern data architectures using Lakehouse, Warehouse, and Real-Time Intelligence
Ingest, transform, and orchestrate data with Dataflows Gen2, Pipelines, and Spark
Secure, monitor, and deploy data engineering solutions in Microsoft Fabric
Disconnected Data Tools Are Slowing You Down
Fabric unifies ingestion, storage, transformation, and real-time dashboards — and this course shows you how to use it all.
Problem: Multiple Azure tools require complex integration
Solution: Learn to consolidate everything into Microsoft Fabric’s single platform
Problem: Streaming data isn’t being used effectively
Solution: Build real-time dashboards with Fabric’s Eventstreams and Eventhouse
Problem: Data engineers lack control over environment deployments
Solution: Use CI/CD practices and deployment pipelines directly inside Fabric
Problem: Data lakes are unmanaged, unsecure, and underutilized
Solution: Implement Delta Lake and medallion architecture using Lakehouse in Fabric
60%
Microsoft Fabric adoption is expected to grow 60% YoY in 2025 across Southeast Asia
Source: Microsoft Southeast Asia Partner Report
44%
Companies using lakehouse architecture report 44% faster analytics deployment
Source: Databricks & ESG Research, 2024
35-50%
Data engineers trained in Fabric reduce pipeline setup time by 35–50%
Source: GemRain Post-Course Impact Report
Go From Ingestion to Insights — All Within Microsoft Fabric
This course teaches you to build pipelines, run Spark jobs, query lakehouses, and orchestrate real-time insights at scale.
DP-700: Microsoft Fabric Data Engineer gives you the practical skills to use Microsoft’s newest unified analytics platform. In just 4 days, you’ll master lakehouses, Spark notebooks, dataflows, real-time analytics, and operational pipelines — all within a governed and scalable Fabric workspace.
Each module includes hands-on exercises using Microsoft Fabric’s Lakehouse, Warehouse, Real-Time, and Monitoring capabilities. Participants gain practical experience in building, securing, and managing enterprise data environments.
Experienced data professionals, engineers, or DP-203 Azure-certified users expanding into Fabric
Experience with SQL, PySpark, or Kusto (KQL) is recommended. Familiarity with data integration and orchestration concepts is required.
Learn unified data engineering with Microsoft Fabric (Lakehouse, Warehouse, Real-Time Intelligence)
Build scalable pipelines and orchestrate workflows with Dataflows and Pipelines
Use Apache Spark, Delta Lake, and Data Warehouse workloads
Monitor, secure, and deploy with built-in Fabric tools
Prepare for future certification or Fabric-based enterprise deployments
Module 1: Ingest Data with Microsoft Fabric
Use Dataflows Gen2, Pipelines, Spark, and Eventstreams for ingesting structured and real-time data
Module 2: Implement a Lakehouse with Microsoft Fabric
Use Spark and Delta Lake
Design a medallion architecture
Orchestrate ingestion and transformation flows
Module 3: Implement Real-Time Intelligence
Capture and analyze streaming data
Work with Eventstreams and Eventhouse
Build real-time dashboards in Fabric
Module 4: Implement a Data Warehouse
Load, query, and monitor Fabric Warehouses
Secure and govern your enterprise data
Module 5: Manage a Microsoft Fabric Environment
CI/CD deployment in Fabric
Monitoring tools, security roles, and administrative governance
Modern Data Engineering Doesn’t Live in Silos — Neither Should Your Tools
Microsoft Fabric breaks down silos by combining ingestion, processing, and visualization into one platform. This course shows you how to harness its full potential — from lakehouse architecture to real-time dashboards — with hands-on practice at every step.
FAQs
Is this course beginner-friendly?
No — it’s designed for experienced data engineers or those familiar with SQL, Spark, or KQL.
Is it aligned to the official DP-700 exam?
Will I work with real Microsoft Fabric tools?
What if I’ve never used Spark before?
Do I need to know Azure Data Factory or Synapse?
Is this course HRDC Claimable?
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