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所在平台: Udemy |
课程主页: https://www.udemy.com/course/azure-databricks-and-spark-sql-python/
课程评论：没有评论
课程名称：Azure Databricks 和 Spark SQL（Python） 课程概述：Databricks 是目前最受欢迎的大数据工具之一。它是一个快速、易用且协作的基于 Spark 的大数据分析服务，特别设计用于数据科学、机器学习和数据工程工作流。本课程包含讲座、代码同步视频和专门的挑战部分，旨在保持学员的积极参与和学习热情！作为额外福利，您将终身访问所有讲座，并提供详细的可下载笔记本，这些笔记本将包含逐步文档以及额外的资源和链接。课程的内容交付既引人入胜又简明扼要，课程大纲广泛但高效，提供实际操作训练，使用多种不同的数据集。本课程旨在教授您 PySpark、Python 中的 Spark SQL 和 Databricks 湖仓架构。学员将主要在 Microsoft Azure 上使用 Databricks，并结合其他服务如 Azure Data Lake Storage Gen 2、Azure Repos 和 Azure DevOps。 课程将涵盖多个领域，包括： - 设置和概览 - Azure Databricks 笔记本 - Spark SQL - 数据的读取和写入 - 使用 Python 进行 Spark SQL 数据分析和转换 - 在 Databricks 笔记本中的图表和仪表板 - Databricks Medallion 架构 - 访问云对象存储中的数据 - Hive Metastore - Databricks 中的数据库、表和视图 - Delta Lake / Databricks 湖仓架构 - Spark 结构化流 - Delta Live Tables - Databricks 作业 - 访问控制列表（ACLs） - Databricks CLI - Databricks Repos 中的源代码管理 - 在 Databricks 上的 CI/CD 通过本课程，您将能够掌握使用 Azure Databricks 和 Spark SQL 进行数据分析和工程的必要技能。
Databricks is one of the most in demand big data tools around. It is a fast, easy, and collaborative Spark based big data analytics service designed for data science, ML and data engineering workflows.The course is packed with lectures, code-along videos and dedicated challenge sections. This should be more than enough to keep you engaged and learning! As an added bonus you will also have lifetime access to all the lectures… and I have provided detailed notebooks as a downloadable asset, the notebooks will contain step by step documentation with additional resources and links.I have ensured that the delivery of the course is engaging and concise, the curriculum is extensive yet delivered in an efficient way. The course will provide you with hands-on training utilising a variety of different data sets.The course is aimed at teaching you PySpark, Spark SQL in Python and the Databricks Lakehouse Architecture.You will primarily be using Databricks on Microsoft Azure in addition to other services such as Azure Data Lake Storage Gen 2, Azure Repos and Azure DevOps.The course will cover a variety of areas including:Set Up and OverviewAzure Databricks NotebooksSpark SQLReading and Writing DataData Analysis and Transformation with Spark SQL in PythonCharts and Dashboards in Databricks NotebooksDatabricks Medallion ArchitectureAccessing Data in Cloud Object StorageHive MetastoreDatabases, Tables and Views in DatabricksDelta Lake / Databricks Lakehouse ArchitectureSpark Structured StreamingDelta Live TablesDatabricks JobsAccess Control Lists (ACLs)Databricks CLISource Control with Databricks ReposCI/CD on Databricks
