Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, posts, pictures, audio files, videos, sensor ...

A Spark application contains several components, all of which exist whether you’re running Spark on a single machine or across a cluster of hundreds or thousands of nodes. Each component has a ...

Writing software that’s secure, reliable, and safe requires dedication, experience, and good tools. Using programming languages like C and C++ to develop these types of applications, so that ...

As the most active open-source project in the big data community, Apache SparkTM has become the de-facto standard for big data processing and analytics. Spark’s ease of use, versatility, and speed has ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...