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Keep shoppingMastering Azure Data Engineering: Part 1 - Hands-On
2,799 students
Mastering Azure Data Engineering: Part 1 - Hands-On
Azure Data Mastery: Techniques & Best Practices for Data Factory, Synapse Analytics, DP-900, and DP-203
Created byLakshmi Narayana Singilidevi
Last updated 6/2024
English
English [Auto],
What you'll learn
- Understand the fundamentals of Azure relational database services, including SQL Database, Postgres SQL, and MySQL.
- Gain proficiency in utilizing Azure Storage for various data storage needs and scenarios.
- Explore the capabilities of Azure Cosmos DB and its suitability for different types of applications and workloads.
- Apply acquired knowledge to design, implement, and manage database solutions on Azure, demonstrating competency through hands-on projects and case studies.
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Course content
1 section • 6 lectures • 1h 39m total length
Requirements
- The prerequisites for taking this course include: 1. Access to an Azure Free Trial or an Azure subscription. 2. Basic understanding of databases and data engineering concepts. 3. Familiarity with cloud computing fundamentals (recommended but not mandatory). 4. Access to a computer with internet connectivity to access Azure services and complete hands-on exercises.
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:
Explore Azure Relational Database Services, including Azure SQL Database, PostgreSQL, and MySQL, for managing structured data efficiently.
Gain hands-on experience in provisioning and managing Azure Storage accounts, understanding storage types and best practices.
Delve into the features and capabilities of Azure Cosmos DB, a globally distributed, multi-model database service for building planet-scale applications.
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
Who this course is for:
- This course is designed for aspiring cloud and Azure data engineers who are interested in mastering Azure data engineering services. It's ideal for individuals who want to deepen their understanding of cloud-based data solutions, including relational databases, storage, and Cosmos DB. Whether you're a data professional looking to transition to the cloud or a beginner eager to explore Azure data services, this course provides valuable insights and hands-on experience to enhance your skills and advance your career in data engineering.