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The C-Suite Will Demand More Real Estate Data In 2015

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More than 95 percent of companies have a formal data and analytics strategy in place with many favoring product development, IT and marketing over corporate real estate—until now. A new, independent study conducted by Forrester Consulting, commissioned by JLL, says that 75 percent of firms see corporate real estate information as a core part of a wider corporate data and analytics strategy.

G2 Crowd Publishes Winter 2015 Rankings for Digital Analytics Platforms

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The first Grid℠ report for digital analytics platforms, published by business software review site G2 Crowd, ranks 12 products to help purchasers in their selections. The Winter 2015 report is based on more than 420 reviews written by business professionals.

How Enterprises Really Feel About Big Data In The Cloud

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In this special guest feature, Prat Moghe of Cazena gives his thoughts about doing big data in the cloud. Prat Moghe is CEO & Founder of Cazena, a company with a mission statement to make gathering information easier for Fortune 2000 companies who want to analyze it.

Kdb+ and the Internet of Things/Big Data

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Kdb+ is a column-based relational database with extensive in-memory capabilities, developed and marketed by Kx Systems. A new research paper is now available that details the use of kdb+ for IoT applications – “Kdb+ and the Internet of Things/Big Data.”

Rising Mobility and Its Risks

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49% of organizations see eDiscovery for endpoint data as their highest governance priority in the next two years. A new approach for governing information is a necessity with the rise of mobility. Our friends over at Druva created the new infographic below depicting the problem with traditional data governance.

Big Data Enters 2015

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As we enter the new and exciting year 2015, the big data industry is well poised to achieve some truly great things. Our friends a DataRPM put together the compelling infographic below, “The Dawn of Smart Enterprise,” to highlight their predictions for how big data will advance in the coming year.

Big Data Industry Predictions for 2015

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As 2014 draws to a close, here at insideBIGDATA we’re trying to cool our heels a bit to reflect on the amazing year we had for Big Data. We thought it would be interesting to put together a 2015 Predictions article that included perspectives from many of our new (and old) industry friends. Below, is a compilation of some of the most compelling predictions we heard.

The Hidden Costs of Open Source

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While Linux clusters dominate HPC, there are many issues related to cost and complexity that can make open-source solutions challenging. In addition, determining real costs can be complex because every environment is different, and organizations will assess costs using their own methodologies and based on their own requirements and capabilities.

New Research Shows Businesses are Investing Heavily in Big Data Analytics

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Big data is more than a buzzword, as proven by how fast organizations are adopting new analytics technologies to obtain business value from it. That is the key takeaway from a Luth Research survey of large organizations currently using big data analytics software or planning to use it in the next 12 months.

Top 5 Challenges for Hadoop MapReduce in the Enterprise

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Now that MapReduce is becoming accepted as a ‘working’ model, the next goal is to turn it into an enterprise-class solution. IBM has written a technical white paper for overcoming common challenges when deploying Hadoop MapReduce – “Top 5 Challenges for Hadoop MapReduce in the Enterprise.”