Mastering Azure Data Engineering: Part 4 – Hands-On

Mastering Azure Data Engineering: Part 4 – Hands-On, available at Free, has an average rating of 3.5, with 7 lectures, based on 1 reviews, and has 639 subscribers.

You will learn about Integrate Azure Blob Storage with SQL databases using Azure Data Factory, enabling seamless data transfer and synchronization. Automate the creation of tables within Azure Data Factory pipelines, streamlining data ingestion and processing workflows. Implement parameterization techniques in Azure Data Factory to enhance pipeline flexibility and reusability. Utilize stored procedure activities within Azure Data Factory to execute complex data processing logic and manage database operations efficiently. This course is ideal for individuals who are This course is ideal for: 1. Aspiring data professionals seeking to enhance their knowledge and skills in Azure Data Services. 2. IT professionals aiming to validate their expertise with the DP-900 certification. 3. Developers interested in leveraging Azure for data storage, analytics, and visualization. 4. Anyone looking to transition into a career involving cloud-based data management and analytics. 5. Students and learners eager to explore the fundamentals of Azure Data Services in a practical, hands-on manner. It is particularly useful for This course is ideal for: 1. Aspiring data professionals seeking to enhance their knowledge and skills in Azure Data Services. 2. IT professionals aiming to validate their expertise with the DP-900 certification. 3. Developers interested in leveraging Azure for data storage, analytics, and visualization. 4. Anyone looking to transition into a career involving cloud-based data management and analytics. 5. Students and learners eager to explore the fundamentals of Azure Data Services in a practical, hands-on manner.

Enroll now: Mastering Azure Data Engineering: Part 4 – Hands-On

Summary

Title: Mastering Azure Data Engineering: Part 4 – Hands-On

Price: Free

Average Rating: 3.5

Number of Lectures: 7

Number of Published Lectures: 7

Number of Curriculum Items: 7

Number of Published Curriculum Objects: 7

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Integrate Azure Blob Storage with SQL databases using Azure Data Factory, enabling seamless data transfer and synchronization.
Automate the creation of tables within Azure Data Factory pipelines, streamlining data ingestion and processing workflows.
Implement parameterization techniques in Azure Data Factory to enhance pipeline flexibility and reusability.
Utilize stored procedure activities within Azure Data Factory to execute complex data processing logic and manage database operations efficiently.

Who Should Attend

This course is ideal for: 1. Aspiring data professionals seeking to enhance their knowledge and skills in Azure Data Services. 2. IT professionals aiming to validate their expertise with the DP-900 certification. 3. Developers interested in leveraging Azure for data storage, analytics, and visualization. 4. Anyone looking to transition into a career involving cloud-based data management and analytics. 5. Students and learners eager to explore the fundamentals of Azure Data Services in a practical, hands-on manner.

Target Audiences

This course is ideal for: 1. Aspiring data professionals seeking to enhance their knowledge and skills in Azure Data Services. 2. IT professionals aiming to validate their expertise with the DP-900 certification. 3. Developers interested in leveraging Azure for data storage, analytics, and visualization. 4. Anyone looking to transition into a career involving cloud-based data management and analytics. 5. Students and learners eager to explore the fundamentals of Azure Data Services in a practical, hands-on manner.

Mastering Azure Data Engineering continues with Part 4, focusing on advanced Azure skills crucial for proficient data engineering. This module delves into integrating Azure Blob storage with SQL databases, automating table creation, parameterization techniques, stored procedure activities, and data transformation using derived columns. Participants will engage in step-by-step tutorials, hands-on labs, and practical exercises to solidify their understanding and expertise in these essential Azure Data Factory functionalities. By the end of the course, learners will possess the skills necessary to streamline data integration, automation, and transformation processes within Azure Data Factory, empowering them to tackle complex data engineering challenges with confidence.

Course Objectives:

Master the process of integrating Blob storage with SQL databases in Azure Data Factory.
Automate table creation tasks within Azure Data Factory pipelines for enhanced efficiency.
Implement parameterization techniques to enhance flexibility and reusability in data workflows.
Utilize stored procedure activities effectively for executing database operations within Azure Data Factory.
Learn how to transform data using derived columns, enabling advanced data manipulation capabilities.
Efficiently filter data using the Select All activity in Azure Data Factory to optimize data processing workflows.

Target Audience:

Experienced Data Engineers
Data Architects
Azure Developers
IT Professionals seeking advanced Azure data engineering skills

Prerequisites:

Proficiency in Azure Data Factory fundamentals.
Familiarity with SQL databases and data transformation concepts.
Basic understanding of Azure services and cloud computing principles.

Delivery Format:

Instructor-led training sessions
Hands-on labs and tutorials

Course Curriculum

Chapter 1: Mastering Azure Data Engineering: Part 4 – Azure Skills

Lecture 1: 16.Integrate Blob to SQL in Data Factory: Step-by-Step

Lecture 2: 17.Automate Table Creation in Data Factory: Step-by-Step

Lecture 3: 18.Parameterization in Data Factory

Lecture 4: 19.Stored Procedure Activity in Azure Data Factory

Lecture 5: 20.Transform Data with Derived Column in Data Factory

Lecture 6: 21.Efficient Data Filtering: Select All Activity in Data Factory

Lecture 7: 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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