In this course module, participants will further their mastery of Azure Data Engineering by focusing on crucial Azure skills. Part 7 of the series concentrates on essential Azure services for efficient data management and analysis. Through a blend of comprehensive lectures, hands-on labs, and practical case studies, learners will deepen their understanding of loading data into relational data warehouses, analyzing data in lake databases, and exploring relational data warehouses using Azure tools. By the end of the course, students will possess the expertise to effectively manage and analyze data within Azure environments, empowering them to drive data-driven initiatives within their organizations.
Course Objectives:
Acquire proficiency in loading data into relational data warehouses, optimizing data storage and retrieval processes.
Develop skills in analyzing data stored in lake databases, utilizing Azure tools for efficient data exploration and analysis.
Explore relational data warehouses effectively using Azure services, gaining insights and actionable intelligence from structured data sources.
Target Audience:
Data Engineers
Data Analysts
Data Scientists
IT Professionals seeking to enhance their Azure data management and analysis skills
Prerequisites:
Basic understanding of Azure services and cloud computing concepts.
Familiarity with data engineering and data analysis principles.
Delivery Format:
Instructor-led training sessions
Hands-on labs and exercises
Big data applications, Hadoop Architecture , Data lake, data science and scientist, Demo
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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.
