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Hadoop

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Where in the World Does All this ESRI World Data Come from?

July 31, 2014 by Shawn Gordon

ESRI World Data.

ESRI does have data sets of their own that are available both for free, and for licensing. They have their own demographers who come up with various cool products like “Tapestry”, which shows life groups and their habit patterns, so you could research in there and discover NASCAR fans are good at recycling.[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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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]

Hadoop in the Big Data Stack

June 12, 2014 by Radhika Subramanian

Hadoop.

Now the flexibility of volume and the types of data collected begins to match the requirements of real business use cases. Where the data warehouse required careful data management, Hadoop’s approach allows for frequent data dumps, giving organizations the ability to treat data storage however they want.[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]

No, Hadoop Is Not Going To Replace Your Data Warehouse

April 11, 2014 by Timo Elliott
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Hadoop and your data warehouse.

The real opportunity of new technologies like Hadoop and In-Memory processing is to enable new, more flexible, analytics-focused, actionable applications. And that takes much more than just a platform. Organizations want best-practice business applications capable of analyzing big data and putting it in the hands of people on the front line of your organization that need it, via cloud and mobile devices.[read more]

Cloudera Makes Hadoop a Big Player in Big Data

April 7, 2014 by Mark Smith

Big data analytics. 

Cloudera’s executive team has the co-founders of Hadoop who worked at Facebook, Oracle and Yahoo when they developed and used Hadoop. Last year they brought in CEO Tom Reilly, who led successful organizations at ArcSight, HP and IBM. Cloudera now has more than 500 employees, 800 partners and 40,000 users trained in its commercial version of Hadoop.[read more]

Thoughts on the Future of Hadoop in Enterprise Environments

March 29, 2014 by Timo Elliott

Hadoop in enterprise environments.

The elephant in the room. It’s now clear that Hadoop will play a key part of your future enterprise architecture. But how will it integrate with existing infrastructures and other new technologies? As Hadoop matures beyond pixel-only business models (social websites, online video games) and inexpensive data storage it is being forced to embrace — and learn a few lessons from — the enterprise systems that drive real-world business.[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]