ETL or Extract, Transform, Load is a well-known process that is linked to big data. An automated technique, ETL is used to not only gather data to also transform it. Some of the world's big data tools make data processing, loading and transformation are easier and faster. With the help of the latest tools and techniques, data scientists can easily extract the raw data. And, then after extraction, the data experts can churn out valuable details from the data. Also, ETL data integration processes make it easier for data scientists to perform the necessary data analysis.
Finally, only when the data is properly analyzed, can it be converted into a useful format. And, when the data is transformed, it can be used for several business purposes. After the transformation of the data, it can be easily loaded to the warehouse. The simplest delimitation of ETL is that it encapsulates the huge volume of data lessen the size. And it automatically enhances the performance of the data for any type of data analysis.
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