ELT
ELT stands for Extract, Load, Transform. It is a data integration process that involves extracting data from various sources, loading it into a target system, and then transforming it into a format that can be used for analysis. ELT is often used in big data environments where data is stored in distributed systems such as Hadoop or Spark. The Extract phase involves pulling data from various sources such as databases, APIs, or flat files. The Load phase involves moving the data into a target system such as a data warehouse or data lake. The Transform phase involves cleaning, enriching, and aggregating the data to make it suitable for analysis. ELT is a flexible approach to data integration that allows for processing large volumes of data quickly and efficiently.
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