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Real-Time ETLT: Meeting the Demands of Modern Data Processing

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ETLT refers to Extract, Transform, Load, and Transform, which combines ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes used in data integration and processing.  In the ETL process, data is extracted, transformed, and loaded into the target system. Also, in the ELT process, firstly the data is extracted, then loaded, followed by transformation. Real-time ETL tools automate the ETL process but have performance and data quality issues.  Real-time ETLT process offers flexibility by allowing both approaches to be used depending on the specific requirements of the data integration process. In ETLT, the data is processed in four stages: STAGE 1: Extract   The data is collected from multiple sources such as Files, Websites, relational and non-relational Databases, SaaS Applications, etc. In this step, raw or unprocessed data is collected for further transformation.   STAGE 2: Transform  When the data is extracted, it is then lightly tran...