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Unstructured Data

13 Retail Companies Using Data to Revolutionize Online & Offline Shopping Experiences

May 21, 2015 by Trips Reddy

Shopping experience. 

According to a report by McKinsey & Company, despite the e-commerce boom, brick-and-mortar stores will still account for approximately 85% of U.S. retail sales in 2025. While slow to catch up with the digital revolution, retail brands are starting to rethink business models and leverage technology to reinvent the in-store customer experience. Interactive digital displays, touchscreens, digital storefronts, magic mirrors, virtual dressing rooms and in-store kiosks (to order out-of-stock items) are transforming how consumers interact with products in physical stores.[read more]

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The Data Lake Debate: Pro Delivers Final Rebuttal and Summary

April 27, 2015 by Tamara Dull

Okay, this is where the rubber meets the road. I have three minutes (or ~450 words) to respond to Anne’s final statement and summarize why I still believe a data lake is essential for any organization to take full advantage of its data. Let’s get started![read more]

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Media & Entertainment Industry Casting Call: High Resolution Digital Assets Offer New Role for Petabyte Storage

April 14, 2015 by Russ Kennedy

Petabyte.

Data size is quickly outpacing storage space in the media and entertainment industry, and object-based storage can play a pivotal supporting role to help companies meet growing challenges[read more]

Digital Reasoning Goes Cognitive: CEO Tim Estes on Text, Knowledge, and Technology

April 13, 2015 by Seth Grimes

Tim Estes.

Digital Reasoning CEO Tim Estes sees cognitive computing -- data, applications, analytics, and machine learning algorithms -- as the providing the brains to drive global enterprises. Cognitive is a next computing paradigm, responding to demand for always-on, hyper-aware data technologies that scale from device form to the enterprise.[read more]

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The Data Lake Debate: Pro Cross-Examines Con

April 6, 2015 by Tamara Dull

The Data Lake Debate.

As to be expected, Anne, your arguments against building a data lake are both persuasive and passionate. You’ve made some great points, my friend, but you’re making this way too easy for me. Before I jump into my rebuttal [my next post], I’d like to clarify a few things that you brought up. I’ve boiled it down to three questions. What say you?[read more]

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Data Lakes and Network Optimization: What’s Next for Telecommunications and Big Data

March 31, 2015 by Sameer Nori

Telecommunication. 

Relational data warehouses served communications service providers well in the past, but it’s time to start thinking beyond columns and rows. Unstructured data will be the fuel that powers risk management and decision-making in the near future. And to use all sorts of data to its fullest potential, we need new ways of storing, accessing and analyzing that data.[read more]

Aligning Big Data

January 18, 2015 by Martyn Jones

Aligning big data.

This is an overview of the realignment and placement of Big Data into a more generalized architectural framework, an architecture that integrates data warehousing (DW 2.0), business intelligence and statistical analysis.[read more]

2015: The Year of IoT Pioneers, Analytics and Data Privacy

January 16, 2015 by Puneet Pandit

2015.

This past year welcomed widespread Internet of Things (IoT) adoption and hype, big data implementation, and growing concerns around data privacy and cloud deployment. As 2014 draws to a close, we look ahead with much anticipation for what promises to be a signature year for machine learning, predictive analytics, new IoT pioneers and a full overhaul in the distribution of the IoT.[read more]

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Is Your IT Architecture Ready for Big Data?

January 6, 2015 by Paul Barsch

Risky Business column.

Companies desperately need to assess their current situation and future business needs, and then design and deliver on a IT architecture that will deliver insights from all data types.[read more]

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Changing Your Mind About Big Data Isn’t Dumb

December 9, 2014 by Paul Barsch

Risky Business column.

While big data technologies have enjoyed plenty of hype, there’s a new reality setting in regarding getting more value from big data investments. With this in mind, it's OK to step back for a moment, pause your programs for a time if necessary, and—yes, even change your mind about big data.[read more]

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5 Ways Hadoop Can Help Healthcare Organizations and You

November 23, 2014 by Sameer Nori

Hadoop and healthcare

There are many different use cases for Hadoop in healthcare. Some of them include helping doctors, patients, and healthcare organizations include personalized treatment planning, assisted diagnosis, fraud detection, and monitoring patient vital signs. Learn how Hadoop is being implemented in each of these use cases.[read more]

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5 Common Use Cases for Hadoop in Retail

November 20, 2014 by Sameer Nori

Hadoop in retail

Retailers can focus on the shopper as an individual, rather than aiming at the masses and hoping to snag a few. Where there once were customer panels, in-store surveys, focus groups, and guesswork, there is now social media, online search behavior, and easy-access customer input.[read more]

Spotlight on SiSense: BI Without the Bandwidth

October 9, 2014 by Shawn Gordon

Spotlight on SiSense.

I was at DataWeek/API World in mid-September 2014 (last week at the time of this writing) and saw some interesting things, almost entirely around Big Data. The two items that stood out for me, were the Graph DataBase system Neo4j (which I wish I had time and a reason to dig into more), and SiSense, who absolutely blew my mind.[read more]

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Fine-Tuning Manufacturing Operations with Big Data and Hadoop

October 6, 2014 by Sameer Nori

Manufacturing pperations and Hadoop.

Your organization is a lean, mean Six Sigma machine. The corporate culture is centered on continuous improvement, with everyone well versed in Kaizen. Your supply chain is well oiled, which should provide assurance about product quality. And yet you wonder: is it possible to improve operations even further?[read more]

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Hadoop in Advertising & Media: Is Data Analytics Making Old Media New?

October 2, 2014 by Sameer Nori
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Hadoop in advertising and media.

Imagine the chance to truly connect with a customer. Imagine if you knew what movies and television shows they watched, and not only when, but how often. Imagine knowing what screen they watched it on and how they shared it socially. Imagine knowing what they like, or dislike, and knowing it in real-time.[read more]