Mastering Azure Data Engineering: Part 3 – Hands-On

Mastering Azure Data Engineering: Part 3 – Hands-On, available at Free, has an average rating of 3.88, with 6 lectures, based on 4 reviews, and has 928 subscribers.

You will learn about Gain proficiency in utilizing Azure Storage within Azure Data Factory workflows. Develop skills in leveraging Azure SQL for data processing and manipulation within Azure Data Factory pipelines. Streamline data workflows effectively using Azure Data Factories, optimizing data movement and transformation processes. Acquire hands-on experience with copy data and delete activities in Azure Data Factory through practical case studies and exercises. This course is ideal for individuals who are This course is designed for data engineers, data analysts, and IT professionals aiming to enhance their skills in Azure data engineering. It's also valuable for anyone interested in leveraging Azure services for data analytics and real-time processing. Whether you're a beginner looking to enter the field or an experienced professional seeking to expand your expertise, this course offers practical insights and hands-on experience to propel your career forward. It is particularly useful for This course is designed for data engineers, data analysts, and IT professionals aiming to enhance their skills in Azure data engineering. It's also valuable for anyone interested in leveraging Azure services for data analytics and real-time processing. Whether you're a beginner looking to enter the field or an experienced professional seeking to expand your expertise, this course offers practical insights and hands-on experience to propel your career forward.

Enroll now: Mastering Azure Data Engineering: Part 3 – Hands-On

Summary

Title: Mastering Azure Data Engineering: Part 3 – Hands-On

Price: Free

Average Rating: 3.88

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

Gain proficiency in utilizing Azure Storage within Azure Data Factory workflows.
Develop skills in leveraging Azure SQL for data processing and manipulation within Azure Data Factory pipelines.
Streamline data workflows effectively using Azure Data Factories, optimizing data movement and transformation processes.
Acquire hands-on experience with copy data and delete activities in Azure Data Factory through practical case studies and exercises.

Who Should Attend

This course is designed for data engineers, data analysts, and IT professionals aiming to enhance their skills in Azure data engineering. It's also valuable for anyone interested in leveraging Azure services for data analytics and real-time processing. Whether you're a beginner looking to enter the field or an experienced professional seeking to expand your expertise, this course offers practical insights and hands-on experience to propel your career forward.

Target Audiences

This course is designed for data engineers, data analysts, and IT professionals aiming to enhance their skills in Azure data engineering. It's also valuable for anyone interested in leveraging Azure services for data analytics and real-time processing. Whether you're a beginner looking to enter the field or an experienced professional seeking to expand your expertise, this course offers practical insights and hands-on experience to propel your career forward.

In this course, participants will delve into mastering Azure Data Engineering with a focus on honing essential Azure skills. This module, Part 3 of the series, specifically concentrates on Azure services vital for data engineering tasks. Through a combination of lectures, hands-on labs, and real-world case studies, learners will deepen their understanding of key Azure components such as Azure Storage and Azure SQL within the context of Azure Data Factory. The course empowers participants to streamline data workflows efficiently, optimizing data movement and manipulation processes. By the end of the course, students will have the expertise to leverage Azure Data Factory effectively for various data engineering tasks, from data ingestion to transformation and loading, enabling them to contribute significantly to data-driven initiatives within their organizations.

Course Objectives:

Gain proficiency in utilizing Azure Storage within Azure Data Factory workflows.
Develop skills in leveraging Azure SQL for data processing and manipulation within Azure Data Factory pipelines.
Streamline data workflows effectively using Azure Data Factories, optimizing data movement and transformation processes.
Acquire hands-on experience with copy data and delete activities in Azure Data Factory through practical case studies and exercises.

Target Audience:

Data Engineers
Data Analysts
Data Scientists
IT Professionals seeking to enhance their Azure data engineering skills

Prerequisites:

Basic understanding of Azure services and cloud computing concepts.
Familiarity with data engineering principles and practices.

Delivery Format:

Instructor-led training sessions
Hands-on labs and exercises
Real-world case studies

Course Curriculum

Chapter 1: Mastering Azure Data Engineering: Part 3 – Azure Skills

Lecture 1: 11.Azure Storage for Data Factory

Lecture 2: 12.Azure SQL for Data Factory

Lecture 3: 13.Streamline Data Workflows with Azure Data Factories

Lecture 4: 14.Copy Data Activity in Azure Data Factory

Lecture 5: 15.Delete Activity in Data Factory

Lecture 6: Follow this channel for updates: https://www.youtube.com/@MithrammaIT/playlists

Instructors

Lakshmi Narayana Singilidevi
Data & Data Science Certified by Microsoft & Oracle

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3 stars: 1 votes
4 stars: 3 votes
5 stars: 0 votes

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