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How MapR’s M7 Platform Improves NoSQL and Hadoop

January 31, 2014 by Michele Nemschoff

MapR’s M7 platform.

M7 removes the trade-offs organizations typically face when looking to deploy a NoSQL solution. Here’s a look at how the M7 platform is making NoSQL and Hadoop easier, faster and more dependable. Since enterprises already have several disparate data systems, having the ability to unify NoSQL and Hadoop under a single scalable cluster eliminates data silos and provides administrative simplicity.[read more]


8 Features of a True Enterprise-Grade Platform for Hadoop and NoSQL

January 30, 2014 by Michele Nemschoff

True enterprise-grade platform for Hadoop and NoSQL.

Businesses have several options when looking for a Hadoop and NoSQL solution. The advantage of using the right enterprise-grade solution is that it can provide the dependability, ease-of-use, and speed required for real production use.[read more]


7 Ways Businesses are Leveraging Hadoop

January 25, 2014 by Michele Nemschoff

Leveraging Hadoop.

When you hear about Hadoop or Big Data, you probably think of large Internet companies, such as Google or Facebook. However, the use of Hadoop is not limited to large search engines or even Internet marketing. Take a look at seven striking examples of how businesses across many industries are leveraging Hadoop to reach multiple business goals.[read more]


Can Big Data and Hadoop Feed the World?

January 24, 2014 by Michele Nemschoff

Feed the world.

It’s no secret that the world’s population is growing. In fact, by 2050 the world’s total population is expected to reach the 9 billion mark, and according to the United Nations’ Food and Agriculture Organization, food production needs to increase by 60 percent by 2050 in order to keep up with population growth.[read more]

NoSQL, NewSQL and NuoDB

November 20, 2013 by Barry Devlin

A flexible database? That works?

The concept of emergent behavior (the idea that the database could be anything anybody wanted it to be, with SQL simply as first model) was interesting technically but challenging in positioning the product. Version 2 is more focused, with a tagline of distributed database and an emphasis on scale-out and geo-distribution within the relational paradigm.[read more]

The Total Cost of Big Data Performance [VIDEO]

June 25, 2013 by Mark van Rijmenam

Damien Black, CEO of SQLStream

During GigaOM Structure in San Francisco, Damien Black, CEO of SQLStream, explains the different costs of the most important data storage possibilities from this moment: Stream Processing, Relational Database and Hadoop Platforms.[read more]

The Road to Success with Big Data: A Closer Look at Expectations vs. Reality

June 8, 2013 by Farnaz Erfan

Big Data road to success

Big Data is complex. The technologies in Big Data are rapidly maturing, but are still in many ways in an adolescent phase. With all the hype around big data, it is easy to expect Hadoop to do anything and everything. However, the road to success with Hadoop is full of both opportunities and obstacles.[read more]

Data Variety: What It's All About

May 14, 2013 by Ling Zhang

data variety / shutterstock

Data variety stands out from the three Vs of big data from the report of the big data survey conducted by NewVantage Partners in 2012. One of the survey results shows companies focusing more on data variety instead of data volume both now and in the next three years.[read more]

Real-Time Access to SaaS Data

May 8, 2013 by Gadi Yedwab

Data stored in SaaS applications is often inaccessible to BI tools. This is a major headache to early adopters of SaaS applications. With on-premise applications, IT departments can bypass the application and access data directly from the underlying database.[read more]

A Unified Environment For Big Data Analytics

April 11, 2013 by Bill Franks

Big Data Analytics

We are reaching a crossroads in the world of analytics. Over the years, we have seen analytic environments and data environments begin to merge through the advent of in-database processing within relational database engines. But is this causing a case of "2 steps forward, 4 steps back"?[read more]

Spreadsheets: Still the King of Business Intelligence Tools

April 9, 2013 by Jim King

Spreadsheets and BI / shutterstock

The year of 2012 witnessed a sharp and substantial increase of BI. Unexpectedly, the spreadsheet turns out to be the one developed and welcomed most, instead of other more sophisticated BI tools like SAP BusinessObjects or Qlikview. Why is the spreadsheet still ruling the BI world?[read more]

Zynga: A Big Data Company Masquerading as a Gaming Company

April 5, 2013 by Mark van Rijmenam

Big data gaming

Online game developer Zynga operates at such a large scale that on a regular day, Zynga delivers one petabyte of content. They have built a flexible cloud server center that can easily add up to 1,000 servers in just 24 hours. So, big data is truly big at Zynga, but how do they cope with it?[read more]

Business Intelligence Maturity Assessment: Data Visualization and Data Strategy Services

March 26, 2013 by Raghu Akkapeddi

Business Intelligence

How do you assess the overall health and maturity of your Business Intelligence Initiative? This article is the first in a series that reviews the topics to be considered when reviewing the current status of a traditional Business Intelligence initiative.[read more]

SQL Visualization in the Spreadsheet

March 3, 2013 by Jim King

SQL is a database query and programming language for retrieving, updating, and managing the data from relational database. Nowadays, SQL is a basic requirement for every programmer. However, there's a disadvantage: SQL is especially designed for technical personnel.[read more]

Decision Management: Business Intelligence's Missing Piece

February 27, 2013 by Carole-Ann Matignon

The whole idea behind business intelligence is to try to make something meaningful out of the gigantic tables of data, in order to reach, ultimately, a number of informed decisions based on that data. Hoping, of course, that those decisions will have the expected impact.[read more]