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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-talend/
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课程名称：使用 Talend Open Studio for Big Data 学习 Talend 课程概述： 本课程专注于 Talend ETL（提取、转换、加载）处理。Talend 帮助企业提供完整、干净、可靠的数据，从而做出更明智的决策。它能够快速从各种异构数据源收集数据，并在部门和平台之间安全、可靠地共享可信数据。课程还会介绍如何将可信数据及时交付给需要的人员，以及如何提升数据控制能力，以做出更好的决策并构建高影响力数字化体验。Talend 是领先的开源数据集成解决方案，其功能包括： * **广泛的连接器：** 支持各种数据源，如打包应用程序（ERP、CRM等）、数据库、大型机、文件、Web服务等，以应对日益增长的数据源多样性。 * **多样化的输出：** 可将数据写入数据仓库、数据市场、OLAP应用程序等，用于分析、报告、仪表板、记分卡等。 * **高级ETL组件：** 内置丰富的ETL组件，如字符串处理、慢变维度（Slowly Changing Dimensions）、自动查找处理、批量加载支持等。 在本课程中，您将学习： * Talend 架构 * ETL 组件 * 系统组件 * 日志记录和错误处理 * 与数据库交互 * 与平面文件交互 * 流处理 * AWS 云 * Kafka **目标学员：** * ETL 开发人员 * 数据架构师 * ETL 工程师 * 数据工程师 * ETL 架构师 * 数据库开发人员 * BI 开发人员 **课程将涵盖的组件示例：** tAggregator, tRowGenerator, tFileCopy, tFilterColumns, tRunJob, tWarn, tAssert, tFileDelete, tFlowMeter, tSampleRow, tChronometer, tFileExist, tJoin, tSetEnv, tConvertType, tFileInputDelimited, tLogCatcher, tSortRow, tCreateTemporaryFile, tFileList, tLogRow, tSplitRow, tDenormalize, tFileOutputDelimited, tMap, tSSH, tDie, tFileProperties, tNormalize, tStatCatcher, tExtractDelimitedFields, tFileTouch, tReplace, tSystem, tFileArchive, tFileunarchive, tReplicate, tUniqueRow, tFileCompare, tFilter, tUnite
The course is about Talend ETL processing.Talend enables us to deliver complete, clean, and uncompromised data to make every decision count. It collects the right data from diverse sources at the speed your business demands. It shares trusted data across departments and platforms, safely and securely. It also delivers trusted data to the people who need it, when they need it and improve your control of data to make better decisions and build high-impact digital experiences.Talend is the leading open source solution for data integration. Its capabilities include,Connectors topackaged applications (ERP, CRM, etc.), databases, mainframes, files, Web Services, and so on to address the growing disparity of sources.Writingto data warehouses, data marts, OLAP applications - for analysis, reporting, dashboarding, scorecarding, and more.Built-in advanced components for ETL, including string manipulations, Slowly Changing Dimensions, automated lookup handling, bulk loads support, etcIn this course you will learn about Talend Architecture ETL ComponentsSystem ComponentsLogging and ErrorInteracting with Databases Interacting with Flat files Streaming processAWS CloudKafkaThis Course is for,ETL DevelopersData ArchitectsETL EngineersData EngineersETL ArchitectsDatabase developersBI DevelopersYou would learn all the below components,tAggregatorRow tFileCopy tFilterColumns tRunJob tWarn tAssert tFileDelete tFlowMeter tSampleRow tChronometer tFileExist tJoin tSetEnv tConvertType tFileInputDelimited tLogCatcher tSortRow tCreateTemporaryFile tFileList tLogRow tSplitRow tDenormalize tFileOutputDelimited tMap tSSH tDie tFileProperties tNormalize tStatCatcher tExtractDelimitedFields tFileTouch tReplace tSystem tFileArchive tFileunarchive tReplicate tUniqueRow tFileCompare tFilter tRowGenerator tUnite
