The new Reality-Data Warehouse And Big Data:Modernizing a Traditional BI Concept

Stefan Müller, Director Business Intelligence & Big Data, it-novum Big Data seems to have rendered the traditional data warehouse concept obsolete, being too slow, not flexible enough and having poor analytics. However, this article shows that – implemented in in the ...

SQL At Hadoop Scale

Improvements to the Hive engine have been announced by Hortonworks. Stinger.next is intended to deliver enterprise SQL with sub-second query response time and to scale from Gigabytes to Petabytes. Hortonworks has announced their plans for more improvements to the Hive interface ...

An introduction to Apache Hadoop for big data

Apache Hadoop is an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. Hadoop is an Apache top-level project being built and used by a global community of contributors and users. It ...

NoSQL, NewSQL, or RDBMS-How To Choose

When should you choose a NoSQL or NewSQL option versus a conventional relational database management system? Here are 10 telltale traits that will help you make the right choice. Today's databases are not only expected to be flexible enough to handle ...

Big Data TechCon Welcomes LinkedIn to Technical Program

Announces industry keynote in addition to more than 55 how-to big data classes and tutorials MELVILLE, N.Y., August 25, 2014 —BZ Media LLC today announced its opening keynote at Big Data TechCon, the how-to technical conference for IT professionals implementing ...

How Big Data Can Help You Make Money

Making money with big data is not difficult if you already have a business in place. Numerous businesses have become more profitable, efficient, and productive when using big data. Since 91 percent of businesses use big data to make money, ...

5 Big Data Apps with Effective Use Cases

Even if your organization is compelled to become more data-driven, many don’t know how to transform themselves out of the use-your-gut mentality and into a data-first one. The easiest way? Take shortcuts by refusing to reinvent the wheel and following the ...
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