Optimizing HDFS Storage and Managing TTL for Unused Hive Tables: Strategies for Improved Data Efficiency
Arjun Mantri · Journal of Artificial Intelligence Machine Learning and Data Science · 2023
This research investigates methods to optimize Hadoop Distributed File System (HDFS) storage and manage Time To Live (TTL) policies for inactive Hive tables, aiming to boost data efficiency in big data ecosystems.It delves into various data compression techniques, file format enhancements, and partitioning strategies, underscoring the significance of choosing suitable storage solutions for better performance.Practical insights are drawn from case studies of LinkedIn, Spotify, and Netflix, demonstrating the implementation of automated TTL policies within data governance frameworks.The study emphasizes the need for regular audits, continuous monitoring, and robust data lifecycle management to ensure optimal storage utilization and regulatory compliance.