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 ...

If you’re tired of using multiple technologies to accomplish various big data tasks, you may want to consider Apache Beam, a new distributed processing tool from Google that’s now incubating at the ...

The nice thing about open source projects and standards is that there are so many of them to choose from. And on January 10, the Apache community welcomed Beam as its "="" project"=""> (getting top ...

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 ...

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 ...

Apache Beam has emerged as a powerful new framework for building and running batch and streaming applications in a unified manner. In its first iteration, it offered APIs for Java and Python. Thanks ...

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 ...

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 ...

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 ...

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 ...