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The 3 things you need to create a data culture

I love data. I live it, I breathe it and I get excited about it. Recently, I started thinking about what creates a data culture when I read the Big Data and AI Executive Survey 2019. It said that 72% of respondents were yet to forge a data culture. While every business uses data in some form, they don’t all use it to truly understand the dynamics of their business and make strategic decisions.

Reactive X: RxJava Data Flows: Observable, Flowable, Single, Maybe and Completable

Reactive programming is a programming technique for asynchronous applications that lets you structure your code based on “reaction” to data input changes instead of an imperative programming style where you have to poll or block and wait for changes to happen. If you’re not 100% familiar with ReactiveX (RxJava being the implementation for the JVM), perhaps you know Java Stream, which is a similar concept introduced in Java 8.

How Dutch telco KPN is making new connections with APIs

Editor's note: Today’s post is by Anuschka Diderich, Platform Lead at KPN, a 130-year-old Dutch landline and mobile telecommunications services company. Read on to learn how KPN is connecting people using API-powered products and services. “I’ll connect you.” Those were the first words uttered over the line in 1881, when the first public telephone network in the Netherlands started operating.

Using the Spark Machine Learning Library in Talend Components

Talend provides a family of Machine Learning components which are available in the Palette of the Talend Studio if you have subscribed to any Talend Platform product with Big Data or Talend Data Fabric. These components provide a whole bunch of tools and technologies to help integrate Machine Learning concepts for your use cases. These out of the box components can perform various Machine Learning techniques such as Classification, Clustering, Recommendation and Regression.