Azure Data Engineering cho Kỹ sư Dữ liệu: DP-203 và Hơn thế nữa

Important Update (Sep 2024):

Based on valuable feedback from students, I have improved the sound quality of all course videos to ensure a clearer and more enjoyable listening experience. Your feedback is always appreciated, and I’m committed to making this course as effective and enjoyable as possible!

Maximize learning without sacrificing more time with this streamlined 16-hour course, designed to comprehensively cover essential concepts and hands-on labs. Every minute is optimized to deliver value and actionable insights, empowering you to master the material efficiently.

Includes BONUS Introductory section covering SQL and Data Fundamentals for Beginners.

"Whether you're a beginner or an experienced professional, this course ensures you won’t miss a thing! We start with the basics and advance to critical topics like performance optimization and security, providing a complete understanding without any gaps."

Gain the skills needed to excel in Azure Data Engineering with this comprehensive course, built around the proven DP-203 framework and enhanced with practical, real-world labs.

• This course provides a comprehensive exploration of Azure Synapse Analytics and its integrated ecosystem, encompassing Dedicated SQL Pools, Serverless SQL Pools, and Spark Pools.

  
  

• You will understand how to harness the power of massive parallel processing in Dedicated SQL Pool by mastering Distributions and Indexing.

  The course also emphasizes performance optimization in Synapse's Dedicated SQL Pools, highlighting techniques like Partitioning, the use of Dynamic Management Views, Materialized Views, and effective Workload Management strategies.

  Additionally, you'll acquire skills in enhancing security for Dedicated SQL Pools through measures such as Conditional Access, Dynamic Data Masking, Column-level Security, Row-level Security and Encryption.

  
  

• You will learn how to utilize Serverless SQL Pools for efficient on-demand data queries and transformations and also about the authentication strategies for Serverless SQL Pools.

  
  

• The curriculum thoroughly covers Spark Pools in depth, from fundamentals to advanced with hands-on labs, including Delta Lake and Data Lakehouse Architecture. You’ll explore practical implementations of Delta Lake and the Data Lakehouse framework using Pyspark and SparkSQL, with hands-on labs demonstrating how to build real-world data pipelines to populate bronze, silver, and gold zones for efficient data processing and analytics.

  
  

• We'll cover the Data Lake for scalable storage solutions, focusing on key features like Access Control Lists (ACLs) for securing data, Lifecycle Policies for managing data retention, different Access Tiers available in Azure Data Lake Storage to store data cost-effectively based on access frequency and retrieval needs, and Storage Redundancy for data durability. This will give you a solid foundation in managing vast amounts of data securely and efficiently in Azure.

  
  

• You'll dive into the basics of Azure Data Factory, laying a foundation for understanding how to orchestrate data movement and transformation workflows effectively and you'll learn the fundamentals of creating, managing, and deploying data pipelines that enable efficient data flow between different data platforms and services within the Azure ecosystem.

  
  

• Azure Databricks sessions will introduce you to collaborative Apache Spark-based Data Engineering along with explanations on different cluster configurations. Further, you will learn about the various utilities available in Databricks, including the file system utility, widgets utility, notebook utility, and secrets utility. These sessions will provide you with a comprehensive understanding of how to effectively manage and utilize Databricks for your data engineering needs.

  
  

• The course delves into Azure Stream Analytics for real-time data processing. You will learn to ingest, process, and analyse data streams in real-time with a better understanding of time handling strategies within Stream Analytics like Out of order events, Late arriving events, Early arriving events and Watermarks.

  
  

• Finally, you'll explore the key elements of Microsoft Purview, including the Data Map, Data Catalog, and Data Insights. You'll gain an understanding of how Purview works and engage in hands-on labs to register and scan data sources, as well as search and browse data assets in the Data Catalog. This practical approach will equip you with essential skills for effective data governance and management using Microsoft Purview.

  
  

  This course equips you with the practical skills and knowledge needed to thrive as a data engineer in the Azure cloud ecosystem. Through a blend of theoretical knowledge and practical demonstrations, you'll emerge ready to tackle real-world data challenges and leverage Azure's powerful data engineering tools to their fullest potential.

  
  

Course Highlights:

• 50 Practice Questions: Test your knowledge with 50 thoughtfully designed questions that mirror real-world Azure Data Engineering scenarios. Each question is accompanied by a detailed explanation to reinforce key concepts and improve understanding.

• Hands-On Labs: Get practical experience with hands-on labs that simulate real-world data engineering tasks on Azure.

• Expert Instruction: Learn from an experienced data engineering professional with a proven track record of teaching and industry experience.

• Comprehensive Resources: Access a wealth of resources, including downloadable resources, and additional reading materials.

• Up-to-Date Content: Stay current with the latest updates and best practices in Azure data engineering.