Are you struggling with too much data? Are your MySQL databases able to ingest the influx of new data? Are you considering an alternate database but modifying your application would be challenging? Are you able to query efficiently your data once ingested? All those questions are raised more often as the trend of connected devices fully deploys. This talk focuses on large metrics-oriented datasets but the ideas presented apply to a wider audience. From experiences gathered as principal architect at Percona helping customers, I’ll cover all the data life cycle phases, from the initial ingestion, the staging, compression, analysis, aggregation, and the final archival. Real world examples and solutions will be given to quickly improve performances and lower costs.
