DP-203 Data Engineer Associate Training

Live Online & Classroom Enterprise Training

DP-203: Data Engineer Associate certification validates skills in designing and implementing data solutions on Microsoft Azure. It covers data storage, processing, integration, and security using services like Azure Synapse, Data Factory, and Databricks.

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What is DP-203 Data Engineer Associate Course about?

This course provides in-depth knowledge of data engineering on Microsoft Azure, covering data storage, processing, transformation, security, and monitoring. You will learn how to design, implement, and optimize data solutions using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks.

What are the objectives of DP-203 Data Engineer Associate Course ?

Design and implement data storage solutions using Azure Data Lake and Azure Blob Storage
Ingest, transform, and load (ETL) data using Azure Data Factory and Azure Databricks
Build and optimize big data solutions using Azure Synapse Analytics
Implement real-time data streaming using Azure Stream Analytics and Event Hubs
Secure and monitor data solutions using RBAC, encryption, and auditing
Optimize performance and scalability for data pipelines
Integrate Azure services to enable end-to-end data engineering solutions

Who is DP-203 Data Engineer Associate Course for?

Data Engineers working on cloud-based data solutions
BI Developers & Analysts handling large-scale data analytics
Software Developers integrating data solutions into applications
Database Administrators migrating workloads to Azure

What are the prerequisites for DP-203 Data Engineer Associate Course?

Basic understanding of databases (SQL & NoSQL)

Available Training Modes

Live Online Training

3 Days

Self-Paced Training

30 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to Data Engineering on Azure

Overview of data engineering and its role in modern analytics

Understanding Azure data services and their use cases

Setting up an Azure data engineering environment

Module 2: Designing and Implementing Data Storage

Choosing the right storage solution: Azure Blob Storage vs. Data Lake

Managing structured and unstructured data

Implementing partitioning, indexing, and compression

Module 3: Data Ingestion and Transformation Using Azure Data Factory

Creating ETL and ELT pipelines using Azure Data Factory

Connecting to on-premises and cloud data sources

Implementing data flows, data transformations, and incremental loads

Module 4: Big Data Processing with Azure Databricks

Introduction to Apache Spark and Azure Databricks

Writing PySpark and Scala scripts for data transformation

Optimizing big data processing with Spark clusters

Module 5: Data Warehousing with Azure Synapse Analytics

Designing data warehouses using Azure Synapse Analytics

Implementing data partitioning and indexing for performance

Using PolyBase for high-performance data movement

Module 6: Real-Time Data Processing and Streaming

Streaming real-time data with Azure Stream Analytics

Integrating Event Hubs and IoT Hub for real-time ingestion

Processing streaming data using Databricks Structured Streaming

Module 7: Data Security, Governance, and Compliance

Implementing role-based access control (RBAC) and encryption

Configuring data masking, firewall rules, and private endpoints

Monitoring and auditing data pipelines with Azure Monitor and Log Analytics

Who is the instructor for this training?

The trainer for this DP-203 Data Engineer Associate Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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