Enterprise software development and open source big data analytics technologies have largely existed in separate worlds. This is especially true for developers in the Microsoft .NET ecosystem. The ...

Big data adoption has been growing by leaps and bounds over the past few years, which has necessitated new technologies to analyze that data holistically. Individual big data solutions provide their ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

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 amazingly active open source Apache Spark project used for Big Data analytics shows no signs of slowing down, as IBM has gone all in on the technology today by promising tons of development ...

There is more to big data than Hadoop, but the trend is hard to imagine without it. Its distributed file system (HDFS) is helping businesses to store unstructured data in vast volumes at speed, on ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Apache Spark has been called a game changer and perhaps ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

You probably did not hear it here first. Spark has been making waves in big data for a while now, and 2017 has not disappointed anyone who has bet on its meteoric rise. That was a pretty safe bet ...