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Mastering Azure Data Engineering: Part 5 - Hands-On

Azure Data Mastery: Techniques & Best Practices for Data Factory, Synapse Analytics, DP-900, and DP-203
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581 students
1hr 51min of on-demand video
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Understand the features and capabilities of Azure Synapse Analytics.
Query files efficiently using a serverless SQL pool in Azure.
Transform files effectively using a serverless SQL pool in Azure.
Apply learned concepts to real-world scenarios through hands-on exercises and projects.

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

Section 1 of this course focuses on mastering Azure Data Engineering, emphasizing crucial Azure skills. Part 5 of the series zooms in on Azure Synapse Analytics, a powerful analytics service that seamlessly combines big data and data warehousing. Through a series of lectures, practical demonstrations, and hands-on labs, participants will explore the capabilities of Azure Synapse Analytics, including querying files and transforming data using serverless SQL pools. By the end of the section, learners will possess the knowledge and skills to leverage Azure Synapse Analytics effectively for data analytics and processing tasks, empowering them to drive data-driven insights within their organizations.

Course Objectives:

  1. Explore the features and functionalities of Azure Synapse Analytics for data analytics and processing.

  2. Utilize serverless SQL pools in Azure Synapse Analytics to query files efficiently.

  3. Perform data transformations using serverless SQL pools within Azure Synapse Analytics.

  4. Apply best practices and techniques for optimizing data analytics workflows in Azure Synapse Analytics.

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 and Real-world case studies

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
  • 2,504 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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