DATA COMPRESSION AND EFFICIENT BIG QUERY LOGIC
Abstract
Data engineering is a critical field that supports the efficient handling, processing, and retrieval of largescale datasets. This paper explores two key aspects of data engineering: data compression techniques and efficient querying logic for Big Data environments. By examining contemporary methods and tools in these areas, we aim to provide a comprehensive overview of how data compression can optimize storage and how effective querying logic can enhance data retrieval performance. The discussion includes an analysis of existing technologies, current challenges, and potential future directions.
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