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Drawbacks of extract transform load software

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If you need to combine data from multiple objects or across multiple disparate data sources, it might become impossible without ETL. This is especially true on multi-tenant environments. Access to cloud-based data often requires expertise in many different web services and API techniques, or data retrieval is slow to prevent demand overload of the source system. Today, ETL software can be used to better access data that is difficult to access because it is cloud-based.

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Data from these systems was transformed and loaded into a more simplified database with human readable naming conventions that could be easily accessed and interpreted for reporting and data analysis. Believe it or not, ETL software has existed since the 70s! Back then, ETL was primarily used for data warehousing purposes to copy and clean data from large (and slow) databases, such as an IBM AS/400 or SAP R/3 based systems, running on mainframe computers. What is ETL?ĮTL stands for Extract, Transform, Load. Here, we will examine the benefits this provides and how Vivid’s ETL tool can help your organization. Vivid ETL will allow you to localize your cloud-based data into a Microsoft SQL Server® database that may reside either on-premise or in the cloud on an Azure® server.

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