Big Data on a Budget Storage Processing and Insights
Big Data on a Budget Storage Processing and Insights Big data projects can feel costly, but you can still get solid results with a careful plan. The goal is to store only what you need, process efficiently, and turn data into useful insights without overspending. This guide offers practical steps that work for teams of all sizes. Start by mapping data usage. Identify hot data you use daily, warm data you query weekly, and cold data you rarely touch. Apply tiered storage: keep hot data in fast, accessible storage and move older files to cheaper, long-term options. Set automatic lifecycle rules to delete or archive items you no longer need. ...