Mastering Azure Data Engineering- Part 2 Hands-On

Mastering Azure Data Engineering: Part 2 – Hands-On, available at Free, has an average rating of 4, with 6 lectures, based on 6 reviews, and has 996 subscribers.

You will learn about 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. Implement real-time data processing solutions with Azure Stream Analytics and Spark Streaming. Develop skills in real-time analytics to monitor and respond to dynamic data streams effectively. 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 2 – Hands-On

Summary

Title: Mastering Azure Data Engineering: Part 2 – Hands-On

Price: Free

Average Rating: 4

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 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.

Implement real-time data processing solutions with Azure Stream Analytics and Spark Streaming.

Develop skills in real-time analytics to monitor and respond to dynamic data streams effectively.

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.

In this intermediate-level course, participants will advance their Azure Data Engineering expertise with a focus on mastering essential Azure skills. Part 2 of the series is designed to deepen understanding and proficiency in key Azure services crucial for data engineering tasks. Through a blend of comprehensive lectures, hands-on labs, and practical case studies, learners will explore data analytics in Azure using Azure Synapse Analytics, Microsoft Fabric, Azure Stream Analytics, Spark Streaming in Azure Synapse Analytics, and Realtime Analytics in Microsoft Fabric. By the end of the course, participants will be equipped to leverage these Azure services effectively to drive data analytics initiatives within their organizations.

Course Objectives:

1. Explore the capabilities of Azure Synapse Analytics for comprehensive data analytics in Azure.

2. Gain insight into Microsoft Fabric and its role in facilitating data analytics workflows.

3. Understand the functionality and use cases of Azure Stream Analytics for real-time data processing.

4. Discover Spark Streaming within Azure Synapse Analytics for high-throughput, fault-tolerant stream processing.

5. Delve into Realtime Analytics in Microsoft Fabric to analyze data in real-time and derive actionable insights.

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

Real-world case studies

Course Curriculum

Chapter 1: Mastering Azure Data Engineering: Part 2 – Azure Skills

Lecture 1: 6.Explore Data Analytics in Azure with Azure Synapse Analytics

Lecture 2: 7.Explore Microsoft Fabric

Lecture 3: 8.Explore Azure Stream Analytics

Lecture 4: 9.Explore Spark Streaming in Azure Synapse Analytics

Lecture 5: 10.Explore Realtime Analytics in Microsoft Fabric

Lecture 6: Follow this channel for updates: https://www.youtube.com/@MithrammaIT/playlists

Instructors

Lakshmi Narayana Singilidevi
Data & Data Science Certified by Microsoft & Oracle

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 2 votes

4 stars: 2 votes

5 stars: 2 votes

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