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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-mastery-unifying-big-data-and-cloud-technologies/
课程评论：没有评论
课程名称：数据精通：统一大数据与云技术 课程概述：本课程融合了四个全面的模块，每个模块专注于大数据和云计算领域的关键技术。课程内容涵盖了Scala与Spark的数据处理、MongoDB的掌握、AWS的基础知识以及Azure云的精通，为学员提供了全面的理解和实践经验。 模块一：Scala与Spark用于大数据 - 第一部分：Scala基础 - Scala概述 - 变量、流程语句、函数 - 类与数据结构 - Scala Spark项目概述 - 第二部分：Spark基础 - Hadoop与Spark概述 - Spark与Databricks的设置 - Spark RDD与DF - 使用Spark的ETL管道 模块二：MongoDB精通 - 第一部分：MongoDB基础 - MongoDB基础知识 - 增删查改操作 - 查询与投影操作符 - 更新操作符 - 第二部分：集成与项目 - Node.js与Python中的MongoDB - 使用MongoDB构建Django应用 - 使用Spark与MongoDB的ETL 模块三：AWS云基础 - 第一部分：AWS简介 - AWS账户设置与服务概述 - 计算与存储服务 - 基础设施作为代码与自动化 - 第二部分：网络与数据库服务 - 网络基础知识 - RDS、Redshift、DynamoDB - 高级主题与集成服务 - 第三部分：动手练习 - 基于AWS服务的真实部署项目 模块四：Azure云精通 - 第一部分：Azure云基础 - Azure云概述 - Azure账户设置与定价 - Azure服务概述 - 第二部分：Azure服务精通 - Azure Databricks与Apache Spark - Azure Blob存储 - Azure数据工厂 - 第三部分：安全与密钥库 - Azure密钥库的实施 - 安全密钥管理实践 总结： 本课程为学员提供了关于Scala与Spark的数据处理、MongoDB的数据库管理、AWS云计算和Azure云数据服务的全面理解。通过实践经验，学员能够在真实场景中有效应用这些技术。课程适合各种学习者，无论是技术新手还是希望提升自身专业知识的行业人士。
This course amalgamates four comprehensive modules, each dedicated to a key technology in the realm of Big Data and Cloud Computing. From Scala & Spark for data processing to MongoDB Mastery, AWS Essentials, and Azure Cloud Mastery, this merged course provides a holistic understanding and hands-on experience in these crucial domains.Module 1: Scala & Spark for Big DataSection 1: Scala FundamentalsIntroduction to ScalaVariables, Flow Statements, FunctionsClasses, Data StructuresScala Spark Project OverviewSection 2: Spark EssentialsHadoop & Spark OverviewSetting up Spark & DatabricksSpark RDDs, DFsETL Pipeline with SparkModule 2: Mastering MongoDBSection 1: MongoDB BasicsMongoDB FundamentalsCRUD OperationsQuery & Projection OperatorsUpdate OperatorsSection 2: Integrations & ProjectsMongoDB with Node.js & PythonBuilding a Django App with MongoDBETL Using Spark with MongoDBModule 3: AWS Cloud EssentialsSection 1: Introduction to AWSAWS Account Setup & Services OverviewCompute and Storage ServicesInfrastructure as Code & AutomationSection 2: Networking & Database ServicesNetworking EssentialsRDS, Redshift, DynamoDBAdvanced Topics & Integration ServicesSection 3: Hands-on ExerciseReal-world Deployment Project with AWS ServicesModule 4: Azure Cloud MasterySection 1: Azure Cloud BasicsIntroduction to Azure CloudAzure Account Setup & PricingAzure Service OverviewSection 2: Azure Service MasteryAzure Databricks & Apache SparkAzure Blob StorageAzure Data FactorySection 3: Security & Key VaultsAzure Key Vaults ImplementationSecure Key Management PracticesConclusion:This merged course offers a comprehensive understanding of Scala & Spark for data processing, MongoDB for database management, AWS for cloud computing, and Azure for cloud data services. By the end, learners gain practical experience and proficiency in utilizing these technologies in real-world scenarios.This course caters to a broad spectrum of learners, ranging from beginners with minimal exposure to these technologies to professionals seeking to enhance their expertise and proficiency in Big Data and cloud computing.
