Azure Data Engineer Associate Training

Overview of Azure Data Engineer Associate DP-203 The Azure Data Engineer Associate Training course is designed to equip participants with the skills and knowledge required to design and implement data…

Created by

Stalwart Learning

Category

Date & Time

Price

Duration

24-40 Hours

Location

https://stalwartlearning.com/

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Course Description

Overview of Azure Data Engineer Associate DP-203

The Azure Data Engineer Associate Training course is designed to equip participants with the skills and knowledge required to design and implement data solutions on the Azure platform. The course covers a range of topics, including data ingestion and processing, storage, transformation, and analysis.

Through a combination of lectures, case studies, and hands-on exercises, participants will learn how to use Azure data services and tools to build secure, scalable, and efficient data solutions. The course also covers best practices for data management, data governance, and data security on the Azure platform.

Stalwart Learning is committed to providing practical and hands-on training, and this course is no exception. Participants will have access to a variety of Azure tools and services throughout the training, including Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics. They will also engage in hands-on exercises and use cases to reinforce their learning and practical application of Azure data engineering concepts and techniques.

The course is suitable for data professionals, data engineers, and individuals responsible for implementing data solutions on the Azure platform. Participants should have a basic understanding of data management and data processing concepts, as well as familiarity with Azure services.

By the end of the training, participants will have a solid understanding of Azure data engineering concepts, services, and tools, and be well-prepared to apply their knowledge to real-world scenarios. They will also be prepared to take the Microsoft Azure Data Engineer Associate certification exam.

Duration

24-40 Hours

Module 1: Introduction to Azure Data Engineering
  • Introduction to Azure data services and the role of a data engineer
  • Understanding the data engineering lifecycle and best practices
  • Overview of Azure data storage and processing options
Module 2: Implementing Data Storage Solutions
  • Configuring and managing Azure Blob Storage for data storage
  • Utilizing Azure Data Lake Storage for big data processing
  • Implementing Azure SQL Database and Azure Synapse Analytics for structured data storage
  • Integrating Azure Cosmos DB for globally distributed databases
Module 3: Implementing Data Integration Solutions
  • Introduction to Azure Data Factory and its key components
  • Building data pipelines and orchestrating data movement with Azure Data Factory
  • Implementing data transformation and integration with mapping data flows
  • Utilizing Azure Databricks for advanced data processing
Module 4: Implementing Data Processing Solutions
  • Leveraging Azure Synapse Analytics for big data processing
  • Implementing data warehousing solutions with Azure Synapse Analytics
  • Utilizing Azure HDInsight for processing big data workloads
  • Building and optimizing data processing solutions with Azure Data Lake Analytics
Module 5: Monitoring and Optimization of Data Solutions
  • Implementing data monitoring and logging with Azure Monitor
  • Utilizing Azure Data Factory monitoring and management features
  • Performance optimization and troubleshooting techniques for data solutions
  • Implementing data retention and archival strategies
Module 6: Designing and Implementing Data Security Solutions
  • Implementing data security and encryption in Azure data solutions
  • Securing data access and implementing authentication mechanisms
  • Monitoring and auditing data solutions for compliance and governance
  • Implementing data masking and anonymization techniques
Module 7: Implementing Data Solutions for IoT
  • Introduction to Azure IoT services and architecture
  • Configuring and managing Azure IoT Hub for device connectivity
  • Processing and analyzing IoT data with Azure Stream Analytics
  • Implementing real-time insights with Azure Time Series Insights
Module 8: Implementing Data Solutions for Streaming and Batch Analytics
  • Implementing real-time data processing with Azure Stream Analytics
  • Configuring and managing Azure Databricks for big data analytics
  • Building batch processing solutions with Azure Data Lake Analytics and Azure HDInsight
  • Implementing data pipelines and workflows with Azure Logic Apps
Module 9: Designing and Implementing Data Warehouses
  • Designing and implementing dimensional data models
  • Implementing Azure Synapse Analytics for data warehousing
  • Loading and transforming data in Azure Synapse Analytics
  • Querying and optimizing data warehouse performance
Module 10: Designing and Implementing Data Pipelines
  • Designing and implementing scalable data pipelines
  • Utilizing Azure Data Factory for data pipeline orchestration
  • Building data pipelines with Apache Spark in Azure Databricks
  • Implementing data pipeline monitoring and management

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