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Mastering Azure Data Engineering: Part 7 - Azure Skills

Azure Data Mastery: Techniques & Best Practices for Data Factory, Synapse Analytics, DP-900, and DP-203
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665 students
1hr 57min of on-demand video
English
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To take this course, learners should have: 1. Basics of cloud concepts. 1. Familiarity with SQL for data querying and manipulation. 3. Access to an Azure free t
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
Analyze data using Azure Synapse Analytics to derive insights and make informed business decisions.
Deploy and manage Microsoft Fabric for efficient data processing and resource optimization.

Requirements

  • To take this course, learners should have: 1. Basics of cloud concepts. 1. Familiarity with SQL for data querying and manipulation. 3. Access to an Azure free trial account for hands-on practice.

Description

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:

  1. Acquire proficiency in loading data into relational data warehouses, optimizing data storage and retrieval processes.

  2. Develop skills in analyzing data stored in lake databases, utilizing Azure tools for efficient data exploration and analysis.

  3. 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

Who this course is 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.

Instructor

Data Engineer & Data Science Certified by Microsoft & Oracle
Lakshmi Narayana Singilidevi
  • 4.3 Instructor Rating
  • 23 Reviews
  • 2,496 Students
  • 13 Courses

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.

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