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Mastering Azure Data Engineering: Part 5 - Hands-On
Rating: 4.6 out of 5(3 ratings)
1,408 students

Mastering Azure Data Engineering: Part 5 - Hands-On

Azure Data Mastery: Techniques & Best Practices for Data Factory, Synapse Analytics, DP-900, and DP-203
Created byLakshmi Narayana Singilidevi
Last updated 6/2024
English

What you'll 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.

Course content

1 section • 6 lectures • 2h 2m total length

  • 22.Explore Azure Synapse Analytics48:28
  • 23.Query files using a serverless SQL pool39:59
  • 24.Transform files using a serverless SQL pool22:26
  • Exercise: Explore Azure Cosmos DB Insight2:33
  • Exercise: Explore data analytics in Azure with Azure Synapse Analytics sparkpool8:44
  • Follow this channel for updates: https://www.youtube.com/@MithrammaIT/playlists0:14

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.

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