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
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I'm Lakshminarayana Singilidevi, a Data Engineer at Infolob Global, based in Rajahmundry, Andhra Pradesh, India. With a Bachelor's degree in Electrical, Electronics, and Communications Engineering from Adikavi Nannaya University, I embarked on a journey to explore the fascinating world of data engineering and data science.
Currently, I am part of the Infolob Global team, where I play a pivotal role in leveraging data to generate insights and solutions that drive our organization's success. My skill set includes proficiency in Oracle Cloud Infrastructure (OCI), data science, and Python programming.
Prior to my role at Infolob Global, I gained valuable experience as an Apprentice at the Indian Space Research Organization (ISRO), where I worked on Satellite Test Data Pattern Generation using FPGA and Embedded Systems. I also completed an internship with the Andhra Pradesh State Skill Development Corporation (APSSDC), honing my skills in various aspects of automation.
My educational journey has been marked by academic excellence, with a Grade A Bachelor's degree and active involvement in college activities. I served as a Class Representative (CR) and achieved recognition for my achievements, including winning the first prize in a college poster presentation on Digital Empowerment and securing the second prize in a college photography competition.
In addition to my academic and professional endeavors, I am continuously enhancing my knowledge and skills. I hold certifications in Introduction to Cybersecurity from Cisco Networking Academy and the Oracle Cloud Infrastructure 2023 Data Science Professional certification from Oracle.
I am passionate about data and technology and look forward to contributing to the ever-evolving field of data engineering and data science.
