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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pass-databricks-certified-data-engineer-associate-certification/
课程评论：没有评论
Azure Databricks 入门：大数据分析实践 本课程旨在帮助您深入了解 Azure Databricks，一个统一的大数据处理和分析平台。通过本课程，您将学习如何利用 Azure Databricks 高效处理、分析海量数据，并从中提取有价值的洞察。 课程内容包括： * **Azure Databricks 社区账户创建与使用**：学习如何注册 Azure Databricks 社区账户，并探索社区版的功能。 * **Azure Free Workspace 设置与资源管理**：学习如何在 Azure 门户创建免费工作区，并配置相关设置。 * **Databricks 集群概念与实践**：理解集群的重要性，学习不同集群类型，以及如何创建和配置集群以满足不同工作负载需求。 * **Databricks Notebook 数据探索与分析**：通过动手实践，学习创建 Notebook，掌握 Notebook 界面及其功能，用于数据探索和分析。 * **数据湖屋 (Data Lakehouse) 概念与构建**：理解数据湖屋的优势，学习如何使用 Azure Databricks 构建数据湖屋架构。 * **Medallion 架构实践**：了解 Medallion 架构的 Bronze、Silver、Gold 三层，并学习如何在 Azure Databricks 中实现该架构以实现有效的数据管理和治理。 * **Delta Lake 功能与应用**：深入了解 Delta Lake 的 ACID 事务、时间旅行、模式演进等特性，学习如何利用 Delta Lake 构建可靠的数据湖，以及其在数据摄取、转换和分析中的集成应用。 无论您是数据工程师、数据科学家还是业务分析师，本课程都将为您提供掌握 Azure Databricks 潜力所需的知识和技能，助力您的数据驱动型项目。
Unlock the Power of Big Data Processing with Azure DatabricksIn today's data-driven world, organizations rely on advanced analytics and machine learning to extract valuable insights from vast amounts of data. Azure Databricks is a unified analytics platform that empowers data professionals to efficiently process, analyze, and derive actionable insights from large datasets.In this comprehensive course, you will gain a deep understanding of Azure Databricks and its pivotal role in big data processing and analytics. We will explore the key features and benefits of Azure Databricks for data engineering, data science, and machine learning, and how it enables organizations to accelerate their data-driven initiatives.The journey begins with creating a Community Account on Azure Databricks, where you will learn the steps to sign up for a community account and access the community edition to explore its features. Next, we will delve into creating an Azure Free Workspace in the Azure portal, covering the process of configuring workspace settings and effectively managing resources.You will then be introduced to the concept of clusters in Azure Databricks, understanding their significance and different types, along with practical guidance on creating and configuring clusters to meet specific workload requirements.With hands-on exercises, you will learn how to create notebooks in Azure Databricks for data exploration and analysis. We will cover the essential features of the notebook interface, empowering you to leverage its capabilities effectively.Moving forward, we will explore the concept of a data lakehouse and its benefits, followed by step-by-step instructions on creating a data lakehouse architecture using Azure Databricks. Additionally, you will gain insights into the Medallion architecture and its layers (Bronze, Silver, Gold), and learn how to implement Medallion architecture principles in Azure Databricks for effective data management and governance.Finally, we will uncover the workings of Delta Lake, a powerful component of Azure Databricks that ensures reliable data lakes by providing features such as ACID transactions, time travel, and schema evolution. You will understand how Delta Lake seamlessly integrates with Azure Databricks for data ingestion, transformation, and analytics, enabling you to build robust data pipelines with ease.Whether you are a data engineer, data scientist, or business analyst, this course equips you with the knowledge and skills needed to harness the full potential of Azure Databricks for your data-driven initiatives. Join us on this journey to unlock the power of big data processing with Azure Databricks
