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2000+ Courses · 15+ Technology Domains
Microsoft Cisco AWS EC-Council View All Courses
DP-900
Microsoft Azure — Data Fundamentals Certification

Azure Data

Fundamentals DP-900

Understand core data concepts, relational and non-relational data, transactional and analytical workloads, Azure SQL, Azure Cosmos DB, Azure Storage, Azure Synapse Analytics, and data visualisation with Power BI — the perfect data literacy certification for any background.

Relational Data Non-Relational Data Azure SQL Cosmos DB Azure Storage Synapse Analytics Power BI Real-Time Analytics
Enroll Now Brochure
Microsoft Fabric & Power BI — Azure Data Services Overview
📊 Microsoft Fabric — Azure Data Services Overview Data Types & Formats StructuredTables, SQL, CSVTables: id|name|age → row dataSemi-StructuredJSON, XML, Parquet{ "id":1, "name":"Zetlan" }UnstructuredImages, Video, Text📷 img.jpg 🎥 video.mp4 📄 log.txt Azure Data Services 🗄️Azure SQL DBRelational🔷Cosmos DBNoSQL/Multi-model📦Azure StorageBlob/File/TableSynapse AnalyticsData Warehouse Data Workloads Transactional (OLTP) INSERT / UPDATE / DELETE Azure SQL · Cosmos DB High concurrency, low latency Analytical (OLAP) SELECT / Aggregations Synapse · Databricks · Fabric Large datasets, historical Power BI — Sales Analytics Dashboard JanFebMarAprMayJunJul ₹4.2M Revenue ↑ 12% 12,847 Customers ↑ 8% ₹327 Avg Order ↓ 2% 142 Returns ↓ 18% Data Roles — DP-900 Exam Domain 🛡️Database AdminDeploy, secure, backup,and maintain databases⚙️Data EngineerBuild pipelines, transformdata, manage storage📊Data AnalystExplore, visualise, andpresent data insights
11
Modules
Full DP-900 stack
18+ hrs
Duration
Beginner-friendly
Cert Prep
Included
Exam-aligned
24/7
Support
Expert guidance
What You Master

The Complete Azure Data Fundamentals Skill Set

No prior data experience required — DP-900 gives every professional a solid foundation in data concepts, Azure data services, and the fundamentals of analytics and visualisation.

📊
Your Complete Azure Data Foundation

DP-900 covers the foundational data concepts every professional needs — structured, semi-structured, and unstructured data types; relational and non-relational concepts; transactional and analytical workloads; Azure SQL, Cosmos DB, and Azure Storage services; large-scale analytics with Synapse, Databricks, and Fabric; real-time analytics; and data visualisation with Power BI.

RelationalNon-RelationalOLTPOLAPAzure SQLCosmos DBSynapsePower BI
📐
Data Types & Storage

Structured (tables, CSV), semi-structured (JSON, XML), and unstructured data. File formats, relational databases, and NoSQL stores.

👥
Data Roles

Database administrators, data engineers, and data analysts — understand the distinct responsibilities of each data professional role.

11
focused modules covering every DP-900 exam domain — no prior experience needed.
🗄️
Relational Azure Services

Azure SQL Database, SQL Managed Instance, SQL on Azure VMs, and open-source database services (MySQL, PostgreSQL, MariaDB).

Large-Scale Analytics & Real-Time

Describe Azure Synapse Analytics, Azure Databricks, Microsoft Fabric, and Azure Data Factory for data warehousing. Understand batch vs streaming data and Azure real-time analytics services like Event Hubs and Stream Analytics.

DP-900 Coverage:
✓ Core Data Concepts
✓ Relational Data
✓ Non-Relational Data
✓ Analytics & Power BI
🔷
Azure Cosmos DB

Identify use cases for Cosmos DB and describe its APIs — Core SQL, MongoDB, Cassandra, Gremlin (graph), and Table API.

📈
Power BI Visualisation

Identify Power BI capabilities, describe data models, and choose appropriate visualisations — bar, line, map, scatter, and matrix charts.

No Prerequisites Required
Open to All Backgrounds — Perfect for Business and IT Professionals

DP-900 requires no prior data experience and is ideal for business analysts, project managers, IT generalists, finance teams, and students. It builds the data literacy needed to understand Azure data discussions, participate in data strategy decisions, and pursue advanced data certifications like DP-100, DP-203, or DP-300.

Why DP-900

The Essential Starting Point for Every Data Career

Data is the most valuable asset in every organisation. DP-900 proves you understand the Azure data ecosystem — the foundation for every data role and every advanced data certification.

Gateway to Every Azure Data Certification

DP-900 is the recommended starting point before DP-100 (Data Scientist), DP-203 (Data Engineer), and DP-300 (Database Admin).

Valued Across All Industries

Finance, healthcare, retail, government, and technology — every sector runs on data. DP-900 proves you speak the data language.

Covers All Azure Data Services in One Cert

From Azure SQL and Cosmos DB to Synapse Analytics, Microsoft Fabric, and Power BI — the broadest Azure data certification overview.

Globally Recognised Microsoft Credential

DP-900 is a Microsoft Certified badge recognised by thousands of employers worldwide as proof of Azure data literacy.

No Experience Required — Start Immediately

Open to all backgrounds — no SQL, no programming, no cloud experience needed. Start your data journey today.

Azure Data Services & Concepts You'll Learn
Azure SQL Database
Cosmos DB
Azure Blob Storage
Azure File Storage
Azure Table Storage
Azure Synapse Analytics
Azure Databricks
Microsoft Fabric
Power BI
Azure Data Factory
Event Hubs
Stream Analytics
OLTP / OLAP
Relational Data
JSON / Parquet
HDInsight
Azure SQL Database
Cosmos DB
Azure Blob Storage
Azure File Storage
Azure Table Storage
Azure Synapse Analytics
Azure Databricks
Microsoft Fabric
Power BI
Azure Data Factory
Event Hubs
Stream Analytics
OLTP / OLAP
Relational Data
JSON / Parquet
HDInsight
Curriculum

11-Module DP-900 Programme

From core data concepts and data roles to relational Azure services, Cosmos DB, Azure Storage, large-scale analytics, and Power BI visualisation.

  • Describe features of structured data — tables, rows, columns, schemas
  • Describe features of semi-structured data — JSON, XML, YAML, key-value
  • Describe features of unstructured data — images, video, audio, documents
  • Describe common formats for data files — CSV, JSON, Parquet, Avro, ORC
  • Describe types of databases — relational, document, key-value, graph, column-family
  • Describe features of transactional workloads — OLTP, ACID, real-time operations
  • Describe features of analytical workloads — OLAP, historical analysis, aggregations
  • Describe responsibilities for database administrators — deploy, secure, backup, maintain
  • Describe responsibilities for data engineers — build pipelines, transform data, manage storage
  • Describe responsibilities for data analysts — explore, visualise, and present insights
  • Identify features of relational data — tables, primary keys, foreign keys
  • Describe normalisation and why it is used — reduce redundancy, ensure integrity
  • Identify common SQL statements — SELECT, INSERT, UPDATE, DELETE
  • Identify common database objects — views, stored procedures, indexes
  • Describe the Azure SQL family — Azure SQL Database, SQL Managed Instance, SQL on Azure VMs
  • Identify Azure database services for open-source systems — Azure Database for MySQL, PostgreSQL, MariaDB
  • Describe Azure Blob storage — hot, cool, cold, archive tiers; block, append, page blobs
  • Describe Azure File storage — SMB and NFS file shares in the cloud
  • Describe Azure Table storage — NoSQL key-attribute store for semi-structured data
  • Identify use cases for Azure Cosmos DB — globally distributed, low latency, multi-model
  • Describe Azure Cosmos DB APIs — Core (SQL), MongoDB, Cassandra, Gremlin, Table
  • Describe considerations for data ingestion and processing — ETL and ELT patterns
  • Describe options for analytical data stores — data warehouses, data lakes, lake houses
  • Describe Azure services for data warehousing — Azure Synapse Analytics, Azure Databricks, Microsoft Fabric, Azure HDInsight, Azure Data Factory
  • Describe the difference between batch and streaming data
  • Identify Microsoft cloud services for real-time analytics — Azure Event Hubs, Stream Analytics, Azure IoT Hub
  • Identify capabilities of Power BI — reports, dashboards, datasets, dataflows
  • Describe features of data models in Power BI — measures, tables, relationships, DAX
  • Identify appropriate visualisations for data — bar, line, map, scatter, funnel, matrix
Course Snapshot
11 Modules
Full DP-900 domains
18+ Hours
Total learning time
Cert Prep
Exam-aligned content
Tech Support
Call / WhatsApp
Mon–Fri
9 AM – 6 PM
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Pricing & Packages

Get a Custom Quotation

Flexible pricing for video, live, and blended training modes — we reply within 24 hours.

Career Outcomes

DP-900 — Your Data Career Entry Point

DP-900 is valued across all industries as proof of Azure data literacy — opening pathways to data engineering, administration, analysis, and architecture careers.

Microsoft
Azure Data
Accenture
Data Analytics
EY
Cloud Data
PwC
Data Advisory
Junior Data Analyst
Explore and summarise data, create basic Power BI reports, and support data-driven decision making.
₹3–8 LPA
Business Intelligence Analyst
Build Power BI dashboards, interpret business data, and present insights to stakeholders.
₹5–12 LPA
Data Project Manager
Manage data migration and analytics projects with foundational Azure data knowledge.
₹6–14 LPA
DP-100 / DP-203 / DP-300 Candidate
Use DP-900 as the foundation to advance to Azure Data Scientist, Engineer, or DBA roles.
Next Certification
Data Pre-Sales / Consultant
Support Azure data sales and consulting engagements with clear technical data knowledge.
₹6–14 LPA
11
Modules
18+
Hours of Training
₹3–14L
Salary Range
DP-900
MS Certified
New Batch Starting Soon — Limited Seats

Start Your Data Journey Today

DP-900 is the first step — join professionals from every background who launched their Azure data career with this foundational certification.

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