Shift AI conference is coming to Dublin!

I am so excited to be attending the Shift AI conference this April in Dublin! It's @shiftconf_co 's #ArtificialIntelligence conference where we will discuss the newest technologies in data mining, machine learning and neural networks. While Ireland is a very active hub for AI in Europe, so far there has been a lack of good conferences happening here: so, Shift AI is welcome! I hope to see you at the event. Learn more over at https://ctt.ec/2K2o6+

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Shipping and analysing MongoDB logs using the Streamsets Data Collector, ElasticSearch and Kibana

In order to show that the considerations done in my last post are general for any log shipping purpose, let's see now how the same process applies to a more real use case scenario: the log shipping and analysis of a MongoDB database logs. MongoDB logs pattern Starting from the release 3.0 (I am considering the release 3.2 for this post) the MongoDB logs come with the following pattern: <timestamp> <severity> <component> [<context>] <message> where: timestamp is in iso8601-local format. severity is the level associated to each log message. It is a single character field. Possible values are F (Fatal), E (Error), W (Warning), I (Informational) and D (Debug). component is for a functional categorization of the log message. Please refer to the specific release of MongoDB you're using to know the full list of possible values. context is the specific context for a me...

Load testing MongoDB using JMeter

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Turning Python Scripts into Working Web Apps Quickly with Streamlit

I just realized that I am using Streamlit since almost one year now, posted about in Twitter or LinkedIn several times, but never wrote a blog post about it before. Communication in Data Science and Machine Learning is the key. Being able to showcase work in progress and share results with the business makes the difference. Verbal and non-verbal communication skills are important. Having some tool that could support you in this kind of conversation with a mixed audience that couldn't have a technical background or would like to hear in terms of results and business value would be of great help. I found that Streamlit fits well this scenario. Streamlit is an Open Source (Apache License 2.0) Python framework that turns data or ML scripts into shareable web apps in minutes (no kidding). Python only: no front‑end experience required. To start with Streamlit, just install it through pip (it is available in Anaconda too): pip install streamlit and you are ready to execute the working de...

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