Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...

Once, Hadoop and MapReduce were nearly synonymous, but today, Spark is the framework of choice for a new wave of big data practitioners Hadoop has never been in more desperate need of a lift than now.

If Google knows a lot about one thing, it is that developers do not want to spend a lot of time setting up infrastructure just so they can create applications that chew on lots of data to run the ...

It is probably a good thing that Doug Cutting, the creator of Hadoop, named the batch-mode data analytics product he created at Yahoo after his child’s stuffed animal rather than something specific ...

This guest post comes courtesy of Tony Baer's OnStrategies blog. Baer is a principal analyst covering Big Data at Ovum. If it seems like we've been down this path before, well, maybe we have. June has ...

June was an exciting month for Apache Spark. At Hadoop Summit San Jose, it was a frequent topic of conversation, as well as the subject of many session presentations. On June 15, IBM announced plans ...

Listen in on any conversation about big data, and you’ll probably hear mention of Hadoop or Apache Spark. Here’s a brief look at what they do and how they compare. 1: They do different things. Hadoop ...

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 ...

Hortonworks puts its development expertise into bolstering Spark, Hadoop's in-memory processing system, to craft a next-generation tool In the post, Hortonworks says it has “outlined a set of ...

One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are ...