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Data Management

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Five Steps to Successfully Manage Multiple Data Platforms

April 13, 2016 by Kevin Petrie

We data folks live in exciting times.As we saw at the Strata + Hadoop show in San Jose, open source developers continue to deliver new ways to analyze high volumes of fast-moving data.One of the hottest, Apache Kafka, can feed data from thousands of applications to emerging platforms like HBase and Cassandra. Enterprises can use Kafka...[read more]

The Panama Papers- It’s all about the data!

April 8, 2016 by Jagadish Thaker

The Panama Papers has set an excellent example for the world about the importance of data science when it comes to analyzing big data. This leak makes us realize that appropriate approaches are needed to handle the challenges of data management for the present and the future.[read more]

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Five Key Benefits of Retiring Legacy Applications to the Data Lake

April 6, 2016 by Sean Martin

With its promise to transform data management and analytics by providing access to all data across the enterprise, the data lake is quickly becoming more than just an industry buzzword.[read more]

Disaster Recovery Solutions in Cloud Infrastructure

April 5, 2016 by Kelvin Smith

What strikes your mind first when you hear about disaster recovery? One can say recovery or continuation of systems and proper functioning of systems after occurrence of any disaster. If we talk about disaster recovery in the world of cloud computing, the term Disaster Recovery is quite new. But are you aware of top cloud disaster recovery concerns?[read more]

Big Data Analysis for Health and Safety in the Workplace

April 4, 2016 by Sarah Smith

Big data promises to transform Australian workplaces in novel, revitalizing ways. It offers hope to employees who sustain serious, life-altering injuries on-the-job.[read more]

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Gartner warns of approaching apocalypse for IoT data management

March 24, 2016 by Melissa Thompson

Gartner projects that at least 25% of IoT implementations will have to be jettisoned in early stages, and their report suggests using a framework of information capabilities as an alternate template for organizations battling with the data surge.[read more]

Interactive Intelligence Doubles Down on Cloud Computing

March 16, 2016 by Richard Snow

Six months ago I wrote that Interactive Intelligence bases its product strategy on continued support of its three core products: CIC, CaaS and PureCloud. During a recent briefing CMO Jeff Platón made it clear that although the company continues to support all three, its main focus will be PureCloud Engage that is also certified...[read more]

How You're Going to Pass Your Data Cap in 2016

March 4, 2016 by Brigg Patten

Broadband Internet service has improved considerably since the first cable modems were introduced back in the mid 1990s. With optical fiber installations being rolled out across the nation, cable modem manufacturers are eagerly awaiting new specifications and new hardware to help them compete. Gigabit network speeds (roughly one thousand...[read more]

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Big Data Analytics in Latin America: Stormy Waters, but the Tide is Rising

March 4, 2016 by Kevin Petrie

How industry leaders can stay one step ahead of tech developments in Latin America[read more]

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Solve Data Issues with Cloud Database Management Systems

March 3, 2016 by Jenny Richards

There are several cloud database management systems that have been developed for the purpose of storage and analysis of both relational and non-relational types of data.[read more]

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No Time to Waste! 5 Essential Features for Your Information Intelligence Solution

February 29, 2016 by Luca Scagliarini

Strategic information analysis is one of the most important activities that your company can perform. The fruits of this labor, especially when consolidated throughout the organization, inform everything from marketing and innovation, to risk management activities. To achieve this level of performance, you’ll need more than a simple...[read more]

Preparing Yourself to Move to Apache Spark

February 29, 2016 by Jim Scott

While MapReduce has been the mainstay of Hadoop processing, Apache Spark is now taking the throne as the way to handle distributed computation. The reasons are obvious: Spark is very fast due to its use of Resilient Distributed Datasets, or RDDs, and it has a clean programming model.[read more]

Cryptic Data: Challenges and Rewards in Finding and Using It

February 24, 2016 by Robert Kugel

Using information technology to make data useful is as old as the Information Age. The difference today is that the volume and variety of available data has grown enormously. Big data gets almost all of the attention, but there’s also cryptic data. Both are difficult to harness using basic tools and require new technology to help organizations glean actionable information from the large and chaotic mass of data. “Big data” refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially those related to human behavior and interaction. The challenges in dealing with big data include having the computational power that can scale to the processing requirements for the volumes involved; analytical tools to work with the large data sets; and governance necessary to manage the large data sets to ensure that the results of the analysis are accurate and meaningful. But that’s not all organizations have to deal with now. I’ve coined the term “cryptic data” to focus on a different, less well known sort of data challenge that many companies and individuals face.[read more]

The 30 Most Influential People To Follow In The #hrtech World

February 23, 2016 by Hagi Trinh

Subscribing to too many sources trying to catch the most accurate, useful content out there? Actually there are people already doing that for you. They are the influencers and thought leaders in the industry. They’re experienced in processing a bunch of info and highlighting the best. And… they tweet about it. We’ve kept an eye on them for a while, especially those having as many high-quality, insightful tweets as the number of their followers.[read more]

Tracking All The Things You Need To Analyze

February 12, 2016 by Bill Franks

As the Internet of Things (IOT) continues to gain momentum, there is a critical component to success that is missing today. While I’ve written about the power of the Analytics of Things (AOT), without addressing some tactical issues regarding the registering, tracking, and retiring of the things we want to analyze, we won’t be able to get where we need to be. We need to be in a position that allows easy and pervasive access and analysis of IOT data.[read more]