Massive Data Workloads with Open Source Software
About this course
The process of selecting the right tools, technologies and strategies for aggregating, processing and making sense of high-velocity, high-volume application log data from tens, hundreds or sometimes thousands of sources can be very overwhelming, expensive, intimidating, stressful and frustrating. This course offers a complete, hands-on instruction on how to aggregate, process, search and visualize massive log data using open source software tools, frameworks and platforms available today to solve these challenges.
55/100
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- 31/45
- Who stands behind it
- 8/35
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- 16/20
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What you'll learn
- set up log collection from multiple sources using open‑source agents
- build data pipelines to process and enrich log entries
- index and search log data with scalable search engines
- create visual dashboards to monitor and analyze massive log volumes
Course objectives
- demonstrate end‑to‑end log aggregation using open‑source frameworks
- teach techniques for efficient processing of high‑volume log streams
- show how to visualize aggregated logs for operational insight
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