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Big Data: The 4 Layers Everyone Must Know

July 29, 2014 by Bernard Marr

The Big Data Guru column.

There is still so much confusion surrounding Big Data. I thought it might help to clarify the 4 key layers of a big data system - i.e. the different stages the data itself has to pass through on its journey from raw statistic or snippet of unstructured data (for example, social media post) to actionable insight.[read more]

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3 Organizations That Can See the Future with Predictive Analytics

July 26, 2014 by Michele Nemschoff

Predictive analytics.

The ability to foresee the future would certainly be the ultimate competitive advantage. In reality though, no business has a crystal ball for making critical decisions. That’s why all critical business decisions have always carried a certain amount of risk. This risk has always and will always be part of the competitive game.[read more]

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Big Data Is Changing Every Industry, Even Yours!

July 1, 2014 by Bernard Marr

The Big Data Guru column.

For a business, the ability to have its production, stock control, distribution and security systems all connected and talking to each other will mean greater efficiency and less waste. Every area of industry is learning to reap the benefits of big data analysis, and it looks certain that finding innovative methods of gathering, recording and analyzing data is going to play a big part of business in the foreseeable future.[read more]

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A Quick Guide to Structured and Unstructured Data

June 28, 2014 by Michele Nemschoff
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Guide to structured and unstructured data.

Big data has opened doors never before considered by many businesses. The idea of utilizing unstructured data for analysis has in the past been far too expensive for most companies to consider. Thanks to technologies such as Hadoop, unstructured data analysis is becoming more common in the business world.[read more]

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What's Hadoop? Here's a Simple Explanation for Everyone

June 24, 2014 by Bernard Marr

The Big Data Guru column.

Hadoop is one of those words that is inextricably linked to the concept of Big Data. But what really is Hadoop? This posts aims to demystify the term and explain, in simple and every-day language, what Hadoop is, the key components of it as well as how it came about and is used today.[read more]

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WOW! Big Data at Google

June 3, 2014 by Bernard Marr

The Big Data Guru column.

Google has not only significantly influenced the way we can now analyze big data (think MapReduce, BigQuery, etc.) – but they probably are more responsible than anyone else for making it part of our everyday lives. I believe that many of the innovative things Google is doing today, most companies will do in years to come.[read more]

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A Complete Guide to Overcoming Executives’ Concerns about Hadoop

April 13, 2014 by Michele Nemschoff
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Overcoming executives’ concerns about Hadoop.

CEOs are often critical of adopting new technology, and for good reason. New technology is expensive and all too often fails to come through and offer any real value to the company. This could present a challenge for IT managers who want to implement Apache Hadoop, the increasingly popular and cost-effective framework for large-scale, data-intensive deployments, into the company’s technology infrastructure.[read more]

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How Your Hadoop Distribution Could Lose Your Data Forever

March 27, 2014 by Michele Nemschoff

Hadoop distribution could lose your data forever.

Relational database users have long depended on foundational protection techniques, such as data replication and snapshots. Today, both are also implemented in standard Hadoop architectures. Their method of application and effectiveness, however, is not the same across distributions.[read more]

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How To Maximize Performance and Scalability Within Your Hadoop Architecture

March 13, 2014 by Michele Nemschoff

Hadoop.

One of the main reasons for moving away from a traditional database solution for managing data is to increase raw performance and gain the ability to scale. It may come as a surprise to you to know that not all Hadoop distributions are created equal in this regard.[read more]

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6 Simple Steps to a Big Data Strategy

March 5, 2014 by Bernard Marr

The Big Data Guru column.

We now live in a world in which the volumes of data are exploding by the second. While some companies are leveraging these data assets very well to generate mouth-watering competitive advantages, most are completely overwhelmed by the amounts of data they are generating and are simply scratching the surface of the other, external data they could use.[read more]

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3 Big Hadoop Myths Dispelled

March 4, 2014 by Michele Nemschoff

Hadoop myths.

As with any new technological innovation, a lot of myths have been generated about Hadoop. At Strata + Hadoop World, held in NY at the end of October, Jack Norris, CMO of MapR, discussed three of those myths and how MapR dispels them.[read more]

7 Important Types of Big Data

February 26, 2014 by Michele Nemschoff
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Types of big data.

Big data is a term thrown around in a lot of articles, and for those who understand what big data means that is fine, but for those struggling to understand exactly what big data is, it can get frustrating. There are several definitions of big data as it is frequently used as an all-encompassing term for everything from actual data sets to big data technology and big data analytics.[read more]

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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]

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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]

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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]