Avanthika S, Aniruthram K P, Anubama G, Sreemathy J
{"title":"使用Talend的数据集成和建模","authors":"Avanthika S, Aniruthram K P, Anubama G, Sreemathy J","doi":"10.53759/acims/978-9914-9946-9-8_1","DOIUrl":null,"url":null,"abstract":"The world revolves entirely around data. We are unable to find even the most fundamental facts without data. Data will grow as enterprises do. You can learn a lot of things with these data. Data integration must be considered in order to access this information. Data integration has a wide range of applications and is used to combine multiple heterogeneous data sets into homogenous data. Analysis, extraction, transformation, and loading are all components of integration. ETL is a key component of data integration and takes up the majority of the work. The concept of warehousing is crucial because it describes how data that has undergone the ETL step will be loaded and used for various purposes.","PeriodicalId":261928,"journal":{"name":"Advances in Computational Intelligence in Materials Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Integration and Modelling using Talend\",\"authors\":\"Avanthika S, Aniruthram K P, Anubama G, Sreemathy J\",\"doi\":\"10.53759/acims/978-9914-9946-9-8_1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The world revolves entirely around data. We are unable to find even the most fundamental facts without data. Data will grow as enterprises do. You can learn a lot of things with these data. Data integration must be considered in order to access this information. Data integration has a wide range of applications and is used to combine multiple heterogeneous data sets into homogenous data. Analysis, extraction, transformation, and loading are all components of integration. ETL is a key component of data integration and takes up the majority of the work. The concept of warehousing is crucial because it describes how data that has undergone the ETL step will be loaded and used for various purposes.\",\"PeriodicalId\":261928,\"journal\":{\"name\":\"Advances in Computational Intelligence in Materials Science\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Computational Intelligence in Materials Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53759/acims/978-9914-9946-9-8_1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Computational Intelligence in Materials Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53759/acims/978-9914-9946-9-8_1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The world revolves entirely around data. We are unable to find even the most fundamental facts without data. Data will grow as enterprises do. You can learn a lot of things with these data. Data integration must be considered in order to access this information. Data integration has a wide range of applications and is used to combine multiple heterogeneous data sets into homogenous data. Analysis, extraction, transformation, and loading are all components of integration. ETL is a key component of data integration and takes up the majority of the work. The concept of warehousing is crucial because it describes how data that has undergone the ETL step will be loaded and used for various purposes.
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