Forbes contributors publish independent expert analyses and insights. I write about startups, technology, and venture capital. If you’re running a web site with a large number of customers, you’ve ...

Two sessions focused on the popular column-based NoSQL data store Cassandra, which was created by Facebook, and later used by high-volume sites such as Twitter. Although neither of the sessions was ...

One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...

While Hadoop, a platform for big data analytics, and NoSQL, a database technology for enterprise, web, mobile, and IoT applications, may seem different, they do complement each other. In a recent DBTA ...

Big data is comprised of the well-known 3 V’s: volume, velocity, and variety. Traditionally, when there has been an influx of new data, systems have scaled up. Recently though with the variety and ...

The big data landscape includes many different buckets. Hadoop and MapReduce programming applies to offline data, where everything is processed in a batch. The NoSQL category is rather coarse and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

The demand for job skills related to data processing — NoSQL, Apache Hadoop, Python, and a smattering of other such skills — has hit all-time highs, according to statistics collected by tech job site ...

If I asked you for the defining characteristic of a big data customer, you’d probably say they’re sitting on large amounts of data. If I asked for the defining characteristic of a NoSQL customer, you ...

The death of SQL has been greatly exaggerated. With all apologies to Mark Twain, the demise of Structured Query Language (SQL), having been forecasted for a while, is far from a done deal. In fact, ...