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Mechanisms for importing cleaned data files into distributed SQL engines using predefined schemas.
Distinct from Schema Column Mapping: Focuses on the bulk loading process into distributed SQL engines rather than just the logical mapping of columns.
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This project is a collection of big data frameworks and pipelines, including an Apache Hive analysis framework, a behavioral data analytics platform, a predictive analytics engine, and real-time data pipelines. It provides the infrastructure for building Extract, Transform, Load (ETL) workflows to process large datasets for distributed storage and SQL-based analysis. The system supports diverse analytical implementations, such as a predictive engine using linear regression for value forecasting and a real-time architecture that moves data through message brokers for immediate reporting. It in
Imports cleaned CSV files into a distributed SQL engine by mapping source columns to predefined table schemas.