|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/dp203-azure-data-engineer-associate-exam-preparation/
课程评论：没有评论
课程名称：Azure数据工程师入门：DP-203及更多 课程概述： 在2024年9月的重大更新中，根据学员的宝贵反馈，课程已改进了所有视频的音质，确保更清晰、愉悦的学习体验。这是一门为期16小时的精简课程，旨在全面覆盖关键概念和动手实验。课程内容经过优化，使每一分钟都能提供价值和可操作的见解，帮助您有效掌握课程材料。 本课程包括额外的基础部分，涵盖SQL和数据基础知识，确保无论您是初学者还是有经验的专业人士，都能全面掌握内容。我们从基础知识开始，深入到性能优化和安全等关键主题，确保学习过程中没有任何缺口。 您将学习到在Azure数据工程中所需的技能，课程围绕经过验证的DP-203框架构建，并结合实践性、真实世界的实验室。课程提供对Azure Synapse Analytics及其集成生态系统的全面探索，包括专用SQL池、无服务器SQL池和Spark池。 学习重点： - 掌握专用SQL池中的大规模并行处理，理解数据分布和索引。 - 性能优化：学习分区、动态管理视图、物化视图和有效的工作负载管理策略。 - 加强专用SQL池的安全性：包括条件访问、动态数据掩码、列级安全性和行级安全性等措施。 - 利用无服务器SQL池进行高效按需数据查询和转换，以及认证策略。 - 深入了解Spark池，从基础到高级的动手实验，包括Delta Lake和数据湖屋架构。 - 结合Pyspark和SparkSQL，实践如何构建实际数据管道，支持高效的数据处理和分析。 此外，您将学习Azure数据工厂的基础知识，了解如何有效地协调数据移动和转化工作流；以及Azure Databricks的应用，包括Apache Spark的协作数据工程。 课程还涵盖Azure Stream Analytics在实时数据处理中的应用，您将学会如何采集、处理和分析实时数据流，同时理解时间处理策略。 最后，您将探索Microsoft Purview的关键元素，包括数据图谱、数据目录和数据洞察，获得有效的数据治理和管理技能。 课程亮点： - 50道练习题：与真实世界情景相似的题目，配有详细解释以巩固关键概念。 - 实践实验室：通过模拟实际数据工程任务获取实践经验。 - 资深讲师授课：从行业经验丰富的数据工程专业人士处学习。 - 综合资源：提供丰富的资源，包括可下载材料和额外阅读材料。 - 最新内容：确保学习内容与最新的Azure数据工程最佳实践保持一致。 通过该课程，您将获得在Azure云生态系统中茁壮成长所需的实用技能和知识，准备迎接真实世界的数据挑战，并充分利用Azure强大的数据工程工具。
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.
