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Mule 3.8-9: Run Java Method on MuleSoft Application Startup
Actualités, Méthodes et organisation des process ITIn this article, I will explain how to execute a Java method once or on Mulesoft Application Startup. With this approach, we can add or execute some needed tasks before a Mule Application fully deployed such as User Notification or Data Clean-Up (Truncation of Database Tables or purging of files from the temporary storage within the server).
First, we need to create a Custom Java Class that implements the interface MuleContextNotificationListener<MuleContextNotification> and override the onNotification() method. We also need to make sure that our startup logic should run after the Mule Context started.
Source de l’article sur DZONE
Fix the Switch!
Actualités, Méthodes et organisation des process ITWhile attending an all-day session with a client, I noticed the following switch located on the wall:
If you can’t figure out what is going on, the switch is taped into the upright position and the attached label reads: "Please leave on at all times."
Source de l’article sur DZONE
You Had Me at Microservices! Oh, No…
Actualités, Méthodes et organisation des process IT"Microservices," the way it stands, is becoming a must-have for a lot of enterprises. It is being touted as the main component if you are leading a digital transformation journey. System integrators are having a field day calling themselves microservices experts. At the end of the day, 90% of implementations are going to fail. Why?
Because microservices by themselves are not the silver bullet. It is excellent armor, but by no means the only piece that you need to convert your legacy monolith — which, by the way, has seen the business grow leaps and bounds — into a lean, modern microservices architecture which will make your digital transformation journey successful. It is going to ruin a lot of C-level reputations.
Source de l’article sur DZONE
Machine Learning in a Box (Part 7): Jupyter Notebook
Actualités, Développement IoT, InnovationA Quick Recap
Last time, we looked at how to leverage the SAP HANA R integration, which opens the door to about 11,000 packages. So, if you feel like the built-in libraries (APL and PAL) don’t offer what you need or if you feel like doing something your way too, now you can!
I hope you all managed to try this out, and probably some of you already started comparing the PAL implementation with R algorithms. Feel free to share your feedback!
Source de l’article sur DZONE (AI)
ML Metrics: Sensitivity vs. Specificity
Actualités, Développement IoT, InnovationIn this post, we will try and understand the concepts behind evaluation metrics such as sensitivity and specificity, which is used to determine the performance of the Machine Learning models. The post also describes the differences between sensitivity and specificity. The concepts have been explained using the model for predicting whether a person is suffering from a disease or not.
What Is Sensitivity
Sensitivity is a measure of the proportion of actual positive cases that got predicted as positive (or true positive). Sensitivity is also termed as Recall. This implies that there will be another proportion of actual positive cases, which would get predicted incorrectly as negative (and, thus, could also be termed as the false negative). This can also be represented in the form of a false negative rate. The sum of sensitivity and false negative rate would be 1. Let’s try and understand this with the model used for predicting whether a person is suffering from the disease. Sensitivity is a measure of the proportion of people suffering from the disease who got predicted correctly as the ones suffering from the disease. In other words, the person who is unhealthy actually got predicted as unhealthy.
Source de l’article sur DZONE (AI)
Project Management Techniques and Tools Made Simple
Développement applicatif, Méthodes et organisation des process ITChoosing the right approach to managing a project is crucial for successful project delivery. The way you manage work is defined by techniques that you use and the tools that you adopt. In this article, we’ve collected project management tools and techniques that are used in different fields and help create an efficient process.
Project Management Techniques
Techniques in project management range from traditional to innovative ones. Which one to choose for running a project depends on project specifics, its complexity, teams involved, and other factors. Most of them can be used in various fields, however, there are techniques that are traditionally used in certain areas of activity, or are developed specifically for certain fields. Below, we’ve listed the most popular techniques that are used in project management.
Source de l’article sur DZone (Agile)
Making Scala Faster: Three Expert Tips for Busy Dev Teams [Video and Slides]
Actualités, Méthodes et organisation des process ITHow To Make Your Scala Applications Compile Faster
With Scala, JVM developers get a host of benefits over other programming languages. From code conciseness (fewer LOC) and native scalability to support for functional programming paradigms and type safety, Scala is the language of choice for modern enterprises like Amazon, HPE, PayPal, and Walmart.
Source de l’article sur DZONE
Data Science vs. AI vs. ML vs. Deep Learning
Actualités, Développement IoT, InnovationComparison Between Data Science, AI, ML, and Deep Learning
What Is Data Science?
R Data science includes data analysis. It is an important component of the skill set required for many jobs in this area. But it’s not the only necessary skill. They play active roles in the design and implementation work of four related areas:
Learn more about Data Science.
Source de l’article sur DZONE (AI)
Machine Learning in a Box (Week 6): SAP HANA R Integration
Actualités, Développement IoT, InnovationA Quick Recap
Last time, we looked at how to import data in SAP HANA express, and we used the dataset provided by the SAP Predictive Analytics tools (and available online).
But the main idea was to show you how you can import more or less any kind of text/CSV files in your HXE instances.
Source de l’article sur DZONE (AI)
Beauty and the Monster: A Casual Story of Model Management
Actualités, Développement IoT, InnovationAbout a year ago, we told a beautiful story about how KNIME Analytics Platform can be used to automate an established modeling process using the KNIME Model Factory. Recently, our Life Science team faced an exhausting and frightening exercise of building, validating, and scoring models for more than 1500 data sets.
We want to share with you how we adapted the KNIME Model Factory for this monstrous application. We hope this will show you how to implement your own model building routines in the KNIME Model Factory. We will also demonstrate how to scale model building processes to very large tasks using KNIME Server Distributed Executors.
Source de l’article sur DZONE (AI)