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. Its ideal for individuals who want to deepen their understanding of cloud-based data solutions, including relational databases, storage, and Cosmos DB. Whether youre 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. Its ideal for individuals who want to deepen their understanding of cloud-based data solutions, including relational databases, storage, and Cosmos DB. Whether youre 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. Its ideal for individuals who want to deepen their understanding of cloud-based data solutions, including relational databases, storage, and Cosmos DB. Whether youre 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. Its ideal for individuals who want to deepen their understanding of cloud-based data solutions, including relational databases, storage, and Cosmos DB. Whether youre 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:

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

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

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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