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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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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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Beware of Big Data Technology Zealotry

June 23, 2014 by Paul Barsch

Risky Business column.

Invariably, there are hundreds of additional arguments proffered by big data vendors and technology zealots inhabiting organizations just like yours. However, there are few crisp binary choices in technology decision making, especially in today’s heterogeneous big data environments. Beware big data zealots that counsel you otherwise.[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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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]

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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]

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3 Reasons Hadoop is Heading to the Cloud

January 9, 2014 by Michele Nemschoff

Hadoop is heading to the cloud.

Cloud computing and big data have been vying for the attention of business owners for several years now. Both initiatives are compelling, as big data analytics promises the potential of powerful new business insights, and cloud computing offers greater flexibility, productivity and cost-savings in running IT systems traditional on-premise systems.[read more]

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Google and Apache Hadoop: A Match Made in the Cloud

January 7, 2014 by Michele Nemschoff

A match made in... the cloud.

Running Hadoop on Google Compute Engine leverages the power and efficiency of Google’s data centers to execute at scale and solve large problems. Utilizing the Google Cloud Platform, enterprises have the flexibility to expand or contract the cluster size on demand to provision precisely the amount of resources required to meet their data processing needs.[read more]

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How Big Data Can Improve Manufacturing Quality

January 4, 2014 by Michele Nemschoff

Big data and manufacturing quality.

Big data solutions provide a huge opportunity for manufacturers to cut costs, improve efficiency and ultimately improve the quality of their product by catching problems faster and adapting their products based on how it is actually used by the consumer. As the Internet of things continues to expand, the opportunity for manufacturers to benefit from this data will only continue to grow.[read more]