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Data Visualization

Context​

Depending on your use case, you may need to visualize your data. Indexing Database is the best type of database to answer this need.

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Use cases​

  • Forensics
  • Data science

How to subscribe to dbaas opensearch ?​

Ask for a database creating using Thales postit portal

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Select DBaaS Opensearch

Features​

Observability & Piped Processing Language​

Observability is collection of plugins and applications that let you visualize data-driven events by using Piped Processing Language to explore, discover, and query data stored in OpenSearch.

Your experience of exploring data might differ, but if you're new to exploring data to create visualizations, we recommend trying a workflow like the following:

  1. Explore data over a certain timeframe using Piped Processing Language.
  2. Use event analytics to turn data-driven events into visualizations. Sample Event Analytics View
  3. Create operational panels and add visualizations to compare data the way you like. Sample Operational Panel View
  4. Use log analytics to transform unstructured log data.
  5. Use trace analytics to create traces and dive deep into your data. Sample Trace Analytics View
  6. Leverage notebooks to combine different visualizations and code blocks that you can share with team members. Sample Notebooks View