Big on Data bro Andrew Brust's recent post on the spring cleaning of Hadoop projects evidently touched a nerve, given the readership numbers that went off the charts. By now, the Apache Hadoop family ...

The fall of MapR caused a rush to judgement about the future of Hadoop. To understand what this means for data initiatives, the viability of Hadoop and data lakes must be separately examined. Data ...

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 ...

In much the same way that Microsoft brought spreadsheet crunching to the business world through its now-ubiquitous Excel, the company is hoping to make a similar impact with big data analysis with its ...

One of the challenges of working with Hadoop environments has been maintaining the infrastruc­ture for big data projects. That’s where cloud makes things easier and, increas­ingly, has served as the ...

Linux desktop software certainly has its hard-core fans, but the open-source program has always faced an uphill battle against a proprietary Microsoft Windows product that could pretty much do all the ...

Sensing a growing interest in big data-style analysis, software provider Revolution Analytics has updated its flagship package of R statistical functions so it can be run with the Hadoop data ...

Attunity Ltd. (NASDAQ CM: ATTU), a leading provider of Big Data management software solutions, announced the latest release of Attunity Visibility for Hadoop with enhanced technology to enable ...

If you deal with machine data, chances are you’re familiar with Splunk, a big data tool geared specifically for machine data. Splunk collects, indexes and correlates real-time data generated by ...

It was only a matter of time until ransomware groups that wiped data from thousands of MongoDB databases and Elasticsearch clusters started targeting other data storage technologies. Researchers are ...