Document databases are an integral part of the application stack, but they often have scalability issues and they tend to end up off to the side of the Hadoop systems that are increasingly being used ...

A new report from Forrester predicts the big data market growing at nearly 13% rate over the next five years, with “non-relational” platforms like Hadoop and NoSQL segments growing nearly twice as ...

Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to ...

NoSQL and Hadoop—two foundations of the emerging agile data architecture—have been on the scene for several years now, and, industry observers say, adoption continues to accelerate—especially within ...

There’s no getting around it—unstructured data is now flooding into enterprises at an unprecedented rate. Many data managers and administrators say most of the data they are handling will be ...

It's about time: More than 10 years after we first heard the term, "big data" has become productive. The world’s largest enterprises — Apple, Wal-Mart and countless others — run large-scale data ...

The database's 1.0 version clears away legacy API clutter and improves documentation as it takes on Cassandra and MongoDB Corks popped earlier this week in the halls of the Apache Foundation, as its ...

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Talend earlier this month released version 5.2 of it open source integration platform, touting new support for NoSQL databases and Apache Hadoop big data profiling. The company said it has focused on ...

There is a lot of data out there, and much of it doesn’t need to be stored in heavyweight relational databases, with complex query languages. That is particularly true of modern cloud applications and ...

With so many NoSQL choices, how do you decide on one? Here’s a handy guide for narrowing your choice to three Hadoop gets much of the big data credit, but the reality is that NoSQL databases are far ...

Imagine that you have coupons that you wanted to push to mobile customers that purchase a specific item. This is a customer facing system of engagement requires location data, purchase data, wallet ...