Hadoop software and services firm Hortonworks says the plans it outlined today for Apache Spark are designed to make the in-memory engine a better candidate for enterprise use. The company is focusing ...

Apache Spark is one of the most widely used tools in the big data space, and will continue to be a critical piece of the technology puzzle for data scientists and data engineers for the foreseeable ...

Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

The folks behind Apache Spark today unveiled Project Hydrogen, a new endeavor that aims to eliminate barriers preventing organizations from using Spark with deep learning frameworks like TensorFlow ...

Hortonworks DataFlow (HDF), Hortonworks' data in motion (streaming data) package, based on Apache NiFi, now includes Apache Storm and Apache Kafka. Previously, customers needed to get these two ...

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

Home listing service Airbnb Inc., building upon technology investments in data analytics and machine learning tools, launched a new matching engine for its mobile application last month that the ...

Yahoo, model Apache Spark citizen and developer of CaffeOnSpark, which made it easier for developers building deep learning models in Caffe to scale with parallel processing, is open sourcing a new ...

Citing enterprise customers’ need for stability and predictability, Hortonworks Inc. said it’s changing the distribution schedule for its core Apache Hadoop platform and extended services. It’s also ...

Traditional relational databases have been highly effective at handling large sets of structured data. That’s because structured data conforms nicely to a fixed schema model of neat columns and rows ...