A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

In a simple batch processing test, Google Cloud Dataflow beat Apache Spark by a factor of two or more, depending on cluster size On Tuesday, my company, Mammoth Data, released benchmarks on Google ...

Google will be feeling pretty pleased with itself after its Cloud Dataflow service outperformed the immensely popular Apache Spark data processing engine in a recent benchmark study carried out by ...

Google today announced that it has made a proposal to submit its Dataflow data processing technology to the Apache Software Foundation (ASF) in order to make Dataflow an Apache incubator project and ...

Setting up a data processing pipeline is a juggling act. What applications work with the backend? Can those applications work together? What about fitting it into existing infrastructure? The best ...

New, useful Apache big data projects seem to arrive daily. Rather than relearn your way every time, what if you could go through a unified API? A long-standing joke about the Hadoop ecosystem is that ...

Big Data consultancy Mammoth Data today published a benchmark study that shows Google's Cloud Dataflow service outperforms the extremely popular open source data processing engine, Apache Spark. Even ...

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 ...

Big Data consultancy Mammoth Data today published a benchmark study that shows Google's Cloud Dataflow service outperforms the extremely popular open source data processing engine, Apache Spark. Even ...