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Hadoop and Spark: Better Together

October 1, 2015 by Jim Scott

The various online reports about the end of Hadoop as a big data framework bring to mind Mark Twain’s notable quote about the reports of his demise being an exaggeration. Hadoop is very much alive, and numerous organizations continue to make it a key component of their big data and analytics initiatives.[read more]

Managing Big Data Integration and Security with Hadoop

September 2, 2015 by Jason Parms

An open-source framework like Hadoop offers endless possibilities for development, and with a strong management group like Apache Systems behind it, one can expect increasing numbers of modules and technologies to integrate with Hadoop to enable your business to achieve its Big Data goals – and maybe even go significantly beyond what you can envision today.[read more]


Data, Data, Data: Communicating Successfully in the Deluge

September 1, 2015 by Daniel Matthews

Now that big data is in the mix, there’s potential for a ton of noise. The business best able to cull what’s vital from the deluge of data, turn it into information and communicate it loud and clear will ride the landslide of data to success.[read more]

Taking the Mystery Out of Big Data

July 10, 2015 by Doug Lautzenheiser

In the not-so-distant past, firms tracked their own internal transactions and master data (products, customers, employees, and so forth) but little else. Companies probably only had very large databases if their industry called for high-volume and high-speed applications such as telecommunication, shipping, or point of sales. Even then, these transactions were all formatted in a standard way and could be saved inside the relational database IBM designed in the 1960s.[read more]


Big Data Hadoop Use Cases in the Oil and Gas Industry

June 22, 2015 by Dave Mendle

While U.S. oil production has begun expanding - so much so that the International Energy Agency predicts that by 2016 the US will surpass Saudi Arabia and Russia - the rest of the world’s oil production has ceased to expand. In an effort to streamline and optimize oil and gas production methods, advances in instrumentation, process automation, collaboration, and data management are being developed.[read more]


How Big Data Affects Us Through the Internet of Things

June 19, 2015 by Dave Mendle

Although big data is ever-present in our lives, it can be difficult to understand how much it really has changed our day-to-day living. Let’s take a closer look at how big data has weaved its way into the lives of many consumers today, via the Internet of Things (IoT).[read more]


4 Considerations When Choosing a Hadoop Distribution

June 18, 2015 by Dave Mendle

Choosing the right Hadoop distribution can be a tricky process. Many businesses looking to adopt Hadoop in their data infrastructure have a hard time figuring out what really differentiates one distribution from another. With so many options available, it’s easy to get lost in the choices.[read more]


The Data Lake: A More Balanced Perspective

June 17, 2015 by Tamara Dull

The Big Data MOPS Series.

The recent data lake debate with my colleague, Anne Buff, may be over, but the discussion in many organizations is just getting started. What we learned during the debate—and you may be discovering in your own organization—is that it forces the larger discussion of managing growing volumes of data in a big data world. With the onslaught of big data technologies in recent years, organizations are having to look once again at the underlying technologies supporting their data collection, processing, storage, and analysis activities. And right now, the Hadoop-based data lake happens to be a very popular option.[read more]


Is Your Data Big?

June 15, 2015 by Dave Mendle

So you’ve heard all the buzz about data. It’s big. Apparently, big data is all around us. That’s what they say anyway. Truthfully, it can be difficult as a business owner to identify where you stand in the grand universe of big data. How big is your data? How are you using it? Would you benefit from using the right big data technology? In short, how do you know if your business is part of this big data revolution? Well, let me help you answer that.[read more]

10 Reasons Why Now Is the Time to Get into Big Data

June 12, 2015 by Rick Delgado

Big data is a key that'll explain specifically what your consumers really think about your product. Big data is even being used in medical research for companies that do personalized medicine or companion diagnostics, and need to analyze large amounts of biological data. You'll be able to use your insight to easily get a better picture of your customers based out of different geographic areas and belonging to different demographic groups.[read more]


Using Recommendation Engines to Reduce Subscription Service Churn

June 12, 2015 by Dave Mendle

Recommendation engines are the digital version of the pot of gold at the end of the Big Data rainbow. Imagine being able to know, in near-time, what your customers really want and when they want it. For a subscription service, the gold is even brighter: You can deliver your customers’ desires directly to them, leading to a dramatic reduction in churn.[read more]


Redefining Loyalty Programs with Big Data and Hadoop

June 11, 2015 by Dave Mendle

A loyalty program should not be about points, rewards, or status. While these perks may attract consumers, they don’t foster loyalty. The focus of these programs should be to collect useful data that can be used to build relationships that benefit both the consumer and the brand.[read more]

Hadoop Can't Do That

June 2, 2015 by Paige Roberts

I just got back from a little executive summit conference in Dallas for Chief Data Officers. Frustratingly, I heard a lot of folks telling me what Hadoop CAN’T do. If you asked most people if water could cut through steel, they would probably tell you it can’t. They would be wrong, too.[read more]


Will You Always Save Money with Hadoop?

May 27, 2015 by Tamara Dull

The Big Data MOPS Series.

If you answered “yes” to the question posed in the title, you’re right. Because if you’re talking about the open source Apache Hadoop project (and any related open source project) , you can download the software for free, take advantage of the free licensing, and run it on low-cost commodity hardware.[read more]


A Big Data Cheat Sheet: What Executives Want to Know

May 21, 2015 by Tamara Dull

The Big Data MOPS Series. 

What can Hadoop do that my data warehouse can’t? The short answer is: (1) Store any and all kinds of data more cheaply and (2) process all this data more quickly (and cheaply). The longer answer is: They say that 20% of the data we deal with today is structured data. I also call this traditional, relational data. The other 80% is semi-structured or unstructured data, and this is what I call “big” data.[read more]