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Summary: The ETL process, which consists of dataextraction, transformation, and loading, is vital for effective data management. Following best practices and using suitable tools enhances data integrity and quality, supporting informed decision-making. What is ETL? ETL stands for Extract, Transform, Load.
A typical data pipeline involves the following steps or processes through which the data passes before being consumed by a downstream process, such as an ML model training process. DataIngestion : Involves raw data collection from origin and storage using architectures such as batch, streaming or event-driven.
Thus, making it easier for analysts and data scientists to leverage their SQL skills for Big Data analysis. It applies the data structure during querying rather than dataingestion. How Data Flows in Hive In Hive, data flows through several steps to enable querying and analysis.
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