Robin Moffatt • 3/12/2015

An Introduction to Analysing ODI Runtime Data Through Elasticsearch and Kibana 4

Read Original

This technical article explains how to extract ODI runtime performance data from an RDBMS like Oracle and store it in Elasticsearch for analysis with Kibana. It details the benefits of this open-source approach for visualizing session execution times, identifying inefficiencies, and enabling long-term trend analysis without relying on ODI's Operator tool or OBIEE.

0 comments
#performance monitoring #data visualization #Elasticsearch
An Introduction to Analysing ODI Runtime Data Through Elasticsearch and Kibana 4

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
Webinar Series – SQL Server Indexing
Koen Verbeeck • 1 votes
2
Risks and Limitations of AI in the Life Sciences
Jeremy Howard • 1 votes
3
1M context is now generally available for Opus 4.6 and Sonnet 4.6
Simon Willison • 1 votes
4
AI is my CMS
Chris Coyier • 1 votes
5
When your coding agent doesn’t understand your project, you’ll get junk
Benjamin Cane • 1 votes
6
LLM Use in the Python Source Code
Miguel Grinberg • 1 votes