Month: April 2017

What’s new in Talend Data Preparation 2.0?

  This past January, Talend Data Preparation 2.0 officially went live! In this article, I want to highlight some of the new features we’ve packed into our latest release. In a nutshell, Talend Data Preparation 2.0  allows users to democratize the exploitation of big data by taking into account the data types specific to each client, as […]

Hand-coding SQL for Data Integration? Not Cool!

  Case study underscores the long-term advantages of open-source ETL tools. I attend a lot of conferences pertaining to data integration, so I’ve seen a certain scenario unfold several times. The keynote speaker asks the audience for a show of hands: “How many of you are using ETL tools?” A smattering of hands go up. […]

Applying Machine Learning to IoT Sensors

  If you have already seen our demo on Analyzing Real-time Streaming IoT (Internet of Things) Data, you’re probably wondering how we trained our classification model to be able to predict user activity. Let’s first discuss the background of the demo, how we classify the data, and lastly choosing an appropriate model. Background The objective […]

How to Simplify Your IoT Platform with Talend

  According to McKinsey, the total potential impact of IoT will face a tremendous increase by 2025 which stands between $3.9 trillion and $11.1 trillion per year. That is why every company should be part of this growth. The convergence of between the digital and the physical world will generate new business models, improve customer satisfaction […]

The Internet of Things and the Threat it Poses to GDPR Compliance

  The pending General Data Protection Regulation (GDPR) is already significantly impacting businesses across Europe. Organisations need to take action now to make certain they are adequately capturing, integrating, certifying, publishing, monitoring and of course, protecting their data to ensure compliance when GDPR enters into application in May 2018. With the number of well-publicised data […]