Mastering Azure Data Engineering: Part 1 – Azure Skills

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Mastering Azure Data Engineering: Part 1 – Azure Skills, Azure Data Mastery: Techniques & Best Practices for Data Factory, Synapse Analytics, DP-900, and DP-203.

Course Description

Azure Data Engineering: Part 1 is designed to equip participants with essential Azure skills crucial for modern data engineering tasks. This module provides comprehensive coverage of Azure Relational Database Services and Azure Storage, key components for managing and processing data in the cloud. Through a series of lectures, practical demonstrations, and hands-on labs, learners will gain proficiency in utilizing Azure SQL Database, PostgreSQL, MySQL, Azure Storage, and Azure Cosmos DB. By the end of the course, participants will have the knowledge and skills to leverage these Azure services effectively in data engineering projects, enabling them to build robust and scalable data solutions.

Course Objectives:

  1. Explore Azure Relational Database Services, including Azure SQL Database, PostgreSQL, and MySQL, for managing structured data efficiently.
  2. Gain hands-on experience in provisioning and managing Azure Storage accounts, understanding storage types and best practices.
  3. Delve into the features and capabilities of Azure Cosmos DB, a globally distributed, multi-model database service for building planet-scale applications.
  4. Develop proficiency in using Azure services to store, process, and analyze data, enabling streamlined data workflows and insights generation.

Target Audience:

  • Data Engineers
  • Database Administrators
  • IT Professionals transitioning to cloud-based data solutions
  • Students and professionals seeking to enhance their Azure data engineering skills

Prerequisites:

  • Basic understanding of cloud computing concepts and Azure fundamentals.
  • Familiarity with relational database concepts and SQL.

Delivery Format:

  • Instructor-led training sessions
  • Hands-on labs and exercises

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