It’s in the nature of hype bubbles to obscure important new paradigms behind a cloud of excitement and exaggerated claims. For example, the phrase “big data” has been so widely and poorly applied that ...

Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over.

Hadoop training courses and certification programs are available from companies including Cloudera, Hortonworks, IBM and MapR. But if you’re not ready to commit to formal training courses, there are ...

This is a guest post by Dell Software executive Guy Harrison Without doubt, “big data” is the hottest topic in enterprise IT since cloud computing came to prominence five years ago. And the most ...

Data science is an interdisciplinary sphere of study that has gained traction over the years, given the sheer amount of data we produce on a daily basis — projected to be over 2.5 quintillion bytes of ...

In a world of real-time data, why are we still so fixated on Hadoop? Hadoop, architected around batch processing, remains the poster child for big data, though its outsized reputation still outpaces ...

Solving this data challenge requires a new thought process and approach, including a new purpose-built architecture for industrial infrastructure, communications and storage. Hadoop is inherently a ...

Big data analytics is one of the major trends every company is told it must jump on for competitive advantage, even survival. As a result, there’s a lot of mythology around big data. Those myths can ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Java devs looking to explore or work in data science may need another language up their sleeves. Python and R are common Java alternatives for data science. Continue Reading ...