Mastering Azure Data Engineering- Part 5 Hands-On

Mastering Azure Data Engineering: Part 5 – Hands-On, available at Free, has an average rating of 4, with 6 lectures, based on 1 reviews, and has 706 subscribers.

You will learn about 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. 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 5 – Hands-On

Summary

Title: Mastering Azure Data Engineering: Part 5 – 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

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.

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.

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

Course Curriculum

Chapter 1: Mastering Azure Data Engineering: Part 5 – Azure Skills

Lecture 1: 22.Explore Azure Synapse Analytics

Lecture 2: 23.Query files using a serverless SQL pool

Lecture 3: 24.Transform files using a serverless SQL pool

Lecture 4: Exercise: Explore Azure Cosmos DB Insight

Lecture 5: Exercise: Explore data analytics in Azure with Azure Synapse Analytics sparkpool

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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4 stars: 1 votes

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