Hadoop, as Stonebraker sees it, is not the big data application and analytics platform of ... “The other 95 percent of the market wants SQL,” he says. “What [the Hadoop vendors] have figured out is ...

NoSQL databases (also called “Not Only SQL databases”) may be a ... and diverse varieties tailored for differing data collection and Big Data analytics applications: Content Store (content ...

Conventional SQL databases are designed for reliable ... an important consideration for big data analytics uses and the creation of data warehouses and data marts. Big data and big data analytics ...

These databases are enabling new levels of data processing, analytics and real-time Big Data as they can handle ... suited to accelerate processing SQL queries because SQL performs the same ...

In my last article, I told you a bit about Microsoft’s overall big data strategy ... You have full support for SQL Server services, such as SQL Server Analysis Services, and SQL Server Reporting ...

About SQream Technologies SQream Technologies provides organizations with the fastest and most scalable big data analytics SQL database. Through patent-pending GPU-based technology and parallel ...

The effort promises to launch a new technology dubbed “array databases.” Proponents of the new standard, dubbed SQL/MDA, for “multidimensional array,” said it is needed because big data in science and ...

Abstract: Big Data deals with enormous ... and gauge their adaptability to analytics techniques. However, a key step in adapting big data tools is the portability of relational databases to big data ...

Abstract: Big data and data analytics require migrating from relational databases (SQL) to NoSQL data structures to represent the data. Such transformation is challenging because of the lack of ...

SEO data expert, has a few tips for you: “When doing content performance analysis, it’s important to understand that not all content is created equal. Utilize SQL Case/When statements to ...