Mastering Azure Data Engineering: Part 7 – Hands-On

Mastering Azure Data Engineering: Part 7 – Hands-On, available at Free, with 6 lectures, and has 776 subscribers.

You will learn about 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. This course is ideal for individuals who are 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. It is particularly useful 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.

Enroll now: Mastering Azure Data Engineering: Part 7 – Hands-On

Summary

Title: Mastering Azure Data Engineering: Part 7 – Hands-On

Price: Free

Number of Lectures: 6

Number of Published Lectures: 6

Number of Curriculum Items: 6

Number of Published Curriculum Objects: 6

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

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.

Who Should Attend

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.

Target Audiences

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.

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

Course Curriculum

Chapter 1: Mastering Azure Data Engineering: Part 7 – Azure Skills

Lecture 1: 28.Load data into a relational data warehouse

Lecture 2: 29.Analyze data in a lake database

Lecture 3: 30.Explore a relational data warehouse

Lecture 4: Exercise: Explore Azure Storage insight

Lecture 5: Exercise: Explore Spark Streaming in Azure Synapse Analytics in live streaming

Lecture 6: 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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Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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