Systems | Development | Analytics | API | Testing

BI

Continuous Integration Best Practices - Part 2

This is the second part of my blog series on CI/CD best practices. For those of you who are new to this blog, please refer to Part 1 of the same series and for those who want to see the first 10 best practices. Also, I want to give a big thank you for all the support and feedback! In my last blog, we saw the first ten best practices when working with Continuous integration. In this blog, I want to touch on some more best practices. So, with that, let’s jump right in!

Machine Learning Sandbox - Data Warehouse

Talend’s Big Data and Machine Learning Sandbox is a virtual environment that utilizes Docker containers to combine the Talend Real-time Big Data Platform with some sample scenarios that are pre-built and ready-to-run. This example demonstrates a Data Warehouse Optimization approach that utilizes the power of Spark to perform analytics of a large dataset before loading it to the Data Warehouse.

From BI to AI: Amplifying Intuition with Machine Intelligence

The next generation of BI will heavily integrate machine intelligence and AI – and how these technologies are embedded and used will matter. The best solutions will support human-centered analysis, which takes advantage of new technology while not losing sight of value of the human perspective in decision making and analysis.

Machine Learning Sandbox - Recommendation Engine

Talend’s Big Data and Machine Learning Sandbox is a virtual environment that utilizes Docker containers to combine the Talend Real-time Big Data Platform with some sample scenarios that are pre-built and ready-to-run. This example uses Talend's machine learning capabilities to implement a personalized recommendation model based on user input.