One of the things that we have explored, but you can look
more into, is to go more in depth on the integrations with
other tools and services.
The field of data analysis and statistics is a very important parallel domain
that should you choose to pursue, will enable you to gain more advanced
insights into the data you're analyzing. Also, with solutions such as PyTorch
or Sklearn, investing in machine learning and artificial intelligence can take
your data analysis to a whole different level. In this module, we went beyond
simple scripts that we use sometimes, and we looked at developing log analysis
workflows.
We have generated alerts and stored them in a Mongo database for
future use, and also indexed enriched data into an elastic instance,
and built visualizations to gain insight and perspective based on
location data. And last, but not least,
I wish to thank you for going through this course, and I look forward to
your feedback and questions in the comments section.
I would also really appreciate if you would rate this course.
Thank you, and good luck in automating log analysis with Python.