With the rapid expansion of network bandwidth,devices 7 Piece Outdoor Modular Seating and applications,log management is facing the challenge of exploding data volumes.Log analysis platform built on SQL-on-Hadoop is capable of storing and querying hundreds of billions of log entries effectively.Columnar and compressed data formats for Hadoop are benchmarked with real-world multi-TB dataset.Conditional and statistical querying efficiency of Hive and Impala is tested.With gzipped Folic Acid Folate parquet format,log data can be compressed by 80%,and querying with impala is 5 times faster.
On this platform,six security incident analysis and detection applications are already deployed.