Mastering Azure Data Engineering- Part 6 Hands-On

Mastering Azure Data Engineering: Part 6 – Hands-On, available at Free, with 6 lectures, and has 916 subscribers.

You will learn about Analyze and manipulate data using Apache Spark within Azure environments. Implement data transformations leveraging Spark in Azure Synapse Analytics. Utilize Delta Lake for managing big data workloads in Azure Synapse Analytics. Apply real-time analytics techniques using Azure Stream Analytics and Microsoft Fabric. 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. Its also valuable for anyone interested in leveraging Azure services for data analytics and real-time processing. Whether youre 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. Its also valuable for anyone interested in leveraging Azure services for data analytics and real-time processing. Whether youre 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 6 – Hands-On

Summary

Title: Mastering Azure Data Engineering: Part 6 – 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

Analyze and manipulate data using Apache Spark within Azure environments.

Implement data transformations leveraging Spark in Azure Synapse Analytics.

Utilize Delta Lake for managing big data workloads in Azure Synapse Analytics.

Apply real-time analytics techniques using Azure Stream Analytics and Microsoft Fabric.

Who Should Attend

This course is designed for data engineers, data analysts, and IT professionals aiming to enhance their skills in Azure data engineering. Its also valuable for anyone interested in leveraging Azure services for data analytics and real-time processing. Whether youre 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. Its also valuable for anyone interested in leveraging Azure services for data analytics and real-time processing. Whether youre 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.

Embark on an journey into Azure Data Engineering with a specialized focus on mastering key Azure skills. Part 6 of this comprehensive series delves into essential Azure services crucial for data engineering tasks. Through a blend of instructional sessions, hands-on labs, and practical case studies, participants will deepen their expertise in analyzing and transforming data using Spark within Azure Synapse Analytics. The course empowers learners to harness the power of Delta Lake in Azure Synapse Analytics for efficient data management and processing. By the conclusion of the course, students will be equipped with the knowledge and skills to leverage Spark and Delta Lake effectively, enhancing their capabilities in data engineering within the Azure ecosystem.

Course Objectives:

1. Develop proficiency in analyzing data with Spark within Azure Synapse Analytics.

2. Acquire skills in transforming data using Spark in Synapse Analytics, optimizing data processing workflows.

3. Utilize Delta Lake in Azure Synapse Analytics for efficient data management and reliability.

4. Apply learned concepts through hands-on exercises and real-world case studies, gaining practical experience in Spark and Delta Lake technologies.

Target Audience:

Data Engineers

Data Analysts

Data Scientists

IT Professionals seeking advanced Azure data engineering skills

Prerequisites:

Basic understanding of Azure services and cloud computing concepts.

Familiarity with data engineering principles and practices.

Prior experience with Spark or similar data processing frameworks is beneficial but not mandatory.

Delivery Format:

Instructor-led training sessions

Hands-on labs and exercises

Course Curriculum

Chapter 1: Mastering Azure Data Engineering: Part 6 – Azure Skills

Lecture 1: 25. Analyze data with Spark

Lecture 2: 26. Transform data using Spark in Synapse Analytics

Lecture 3: 27.Use Delta Lake in Azure Synapse Analytics

Lecture 4: Exercise: Explore Azure Stream Analytics using git clone

Lecture 5: Exercise: Explore Realtime Analytics in Microsoft Fabric in SaaS

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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