Mastering Azure Data Engineering: Part 1 – Hands-On
Mastering Azure Data Engineering: Part 1 – Hands-On, available at Free, has an average rating of 4.15, with 6 lectures, based on 10 reviews, and has 1164 subscribers.
You will learn about 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. This course is ideal for individuals who are 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. It is particularly useful 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.
Enroll now: Mastering Azure Data Engineering: Part 1 – Hands-On
Summary
Title: Mastering Azure Data Engineering: Part 1 – Hands-On
Price: Free
Average Rating: 4.15
Number of Lectures: 6
Number of Published Lectures: 6
Number of Curriculum Items: 6
Number of Published Curriculum Objects: 6
Original Price: Free
Quality Status: approved
Status: Live
What You Will 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.
Who Should Attend
- 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.
Target Audiences
- 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.
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:
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Explore Azure Relational Database Services, including Azure SQL Database, PostgreSQL, and MySQL, for managing structured data efficiently.
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Gain hands-on experience in provisioning and managing Azure Storage accounts, understanding storage types and best practices.
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Delve into the features and capabilities of Azure Cosmos DB, a globally distributed, multi-model database service for building planet-scale applications.
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Develop proficiency in using Azure services to store, process, and analyze data, enabling streamlined data workflows and insights generation.
Target Audience:
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Data Engineers
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Database Administrators
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IT Professionals transitioning to cloud-based data solutions
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Students and professionals seeking to enhance their Azure data engineering skills
Prerequisites:
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Basic understanding of cloud computing concepts and Azure fundamentals.
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Familiarity with relational database concepts and SQL.
Delivery Format:
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Instructor-led training sessions
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Hands-on labs and exercises
Course Curriculum
Chapter 1: Azure Data Engineering: Part 1 – Azure Skills
Lecture 1: 1.Explore Azure Relational Database Services (SQL DATABASE)
Lecture 2: 2.Explore Azure Relational Database Services (Postgres SQL)
Lecture 3: 3.Explore Azure Relational Database Services (My SQL)
Lecture 4: 4.Explore Azure Storage
Lecture 5: 5.Explore Azure Cosmos DB
Lecture 6: Follow this channel for updates: https://www.youtube.com/@MithrammaIT/playlists
Instructors
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Lakshmi Narayana Singilidevi
Data & Data Science Certified by Microsoft & Oracle
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 6 votes
- 5 stars: 2 votes
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