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  • 00:31

    Big Data Software Solutions

    in Technology

    Greeting and welcome to Radio Time Productions with Valerie Jarrette Bass, Host. Broadcasting live from beautiful South Florida. Our guest today is Gerald Cantor, Owner/CEO at TriFokus Solutions, LLC discussing Big Data, prebuilt virtual machines, ecosystem, Cloudera...


    Mobile-friendly - Big data is a broad term for datasets so large or complex that traditional dataprocessing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. ‎Big Data (band) -


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  • 00:29

    What is the important gleaned data from the big data sets

    in Books

    What is big data, and why do leaders' gravitates toward big data in making strategic decisions. And why do leaders now depend on big data interpretation for managerial decisions? Simply stated, due to technological situational happenstances, there have been surge of convergences of Information Technology (IT) with the Operational Technology (OT) for strategic decision making. Deft leaders and managers should now collaborate with DS, DA, IA to formulate and set #IoT goals' towards maximization of profit  These technological pathways have been changed due to iCloud, Information, Mobile, and Social media, thereby removing all intermediaries from their node. To quickly redact, communication between inanimate objects called the Internet of Things #IoT. And Industrial Internet of Things (IIoT) is where industry communicates with one another like the caterpillar building industry communicating with say with the agricultural department,

  • 00:03

    Big Data Technology Computer Industry

    in Technology

    Greeting and welcome to Radio Time Productions with Valerie Jarrette Bass, Hosst. Broadcasting live from beautiful South Florida. Our guest today is Gerald Cantor, Owner/CEO at TriFokus Solutions, LLC discussing Big Data, prebuilt virtual machines, ecosystem, Cloudera...


    Mobile-friendly - Big data is a broad term for datasets so large or complex that traditional dataprocessing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. ‎Big Data (band) -

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  • 00:30

    What are the limitations and variable costs of using "Big Data Information?"

    in Books

    This week discussion will focus on how leaders or team managers decipher variable costs and the limitations of the disruptive components of Big Data. There is limitation on to the insights of the “important data” gleaned from complex, structured and unstructured data that have resulted in about 75 percent of data ultimately becoming useless after 80 days (Leigh, 2013; Tamm-Daniels, 2013). Not only that the overwhelming data collated by DA, DS, IA, OT and IM does become unusable, the limitation are equally intertwined with the analysts, leader’s and manager’s emotional intelligent, intuitiveness, and above all, their prejudice experiences leading to whether or not the data will be skewed subliminally into achieving set organizational objective. Because the raison d’etre of any organization is to maximize profit. There is also this scalable hurdle to jump such as the Information Governance, Sarbanes-Oxley compliance now extended to the use of big data that was initially connected with certifying the accuracy of financial statements under Section 302, “Corporate responsibility and Financial Reports” (Eaton, and et al, 2012; Jarausch and Hardy, 1991). These variables are direct or indirect costs that needed to be implicitly measured in terms of ROI with respect to IoT and IIoT. And the aforementioned will be the topic of examination and lecture this week. Also read more about this discussion inside here at http://tinyurl.com/nky952l

  • 00:29

    Bit of data used in financing real estate has metamorphosed into big datasets

    in Books

    The discussion this Friday will focus on the historical bit of data originally used in financing real estate mortgage in the 1800s. This bit of data significantly became the nucleus of understanding the etymology of real estate and its present connotations. Most importantly, the bit of data has metamorphosed into big data sets used within the present real estate transactions (scan through here at http://tinyurl.com/lz45vxn). Information in real estate that were hard to come by or hard deciphered are now readily available to estate agents, buyers, sellers and investors.  Explaining and navigating through these capricious sea changes of big data and its global implications on real estate will be the congenial twin of Internet of Things #IoT and Industrial Internet of Things #IIoT.  Read more inside here at http://tinyurl.com/o52lwvm

  • 00:30

    Data Mining Resources On the Internet

    in Internet

    This program will be featuring my Subject Tracer™ and white paper Data Mining Resources. We will be highlighting the latest and greatest resources and sources for data mining covering search engines, subject directories, articles, guides and tracers....literally everything DATA MINING on the Internet!!!! We will also discussing my latest freely available Awareness Watch Newsletter V13N12 December 2015 featuring ShoppingBots and Online Shopping 2016 and my freely available December 2015 Zillman Column  highlighting the 2016 Directory of Directories. You may call in to ask your questions at (718)508-9839. The show is live and thirty minutes in length starting at 2:00pm EST on Wednesday, December 16, 2015 and then archived for easy review and access. Listen, Call and Enjoy!!
     

  • 00:09

    Focus for 2016: Wireless and Data Analytics at Forefront for Government Agencies

    in Technology

    Wireless and data analytics will be top-of-mind this year for government agencies, including the Department of Defense (DoD), according to Jim Smid, Chief Technology Officer for Iron Bow Technologies. Smid recently spoke with TechSource and shared his thoughts for 2016, which are that government agencies should take a holistic approach to their networks to optimize wireless and that they “have the data, but need to take advantage of it.”


    For the past few years, mobility has ramped up as agencies have focused on getting new mobile applications and devices into the hands of mobile workers. Smid says those efforts will explode in 2016 and agencies will be focusing on the wireless infrastructure to support mobility.


    As more devices are connected to networks, and more agencies are collecting massive amounts of data from them, Smid sees data analytics becoming more important. The focus in 2016 should be on correlating, normalizing and analyzing that data to get real-time information back to users.


    Smid shared examples of how wireless and data analytics, along with the Internet of Things (IoT), will affect agencies this year. Listen to the podcast here.

  • 00:31

    Data at Risk - Is there a weakness in self-encrypting hard drives?

    in Technology

    Self-encrypting hard drives (SEDs) have been dubbed the security industry’s best-kept secret, but is the data inside really secure?


    With its ability to accelerate the drive-redeployment process, SEDs have been rising in popularity. Tune into this podcast to hear Rick Robinson, IBM Security Product Manager of Data Security, examine the security behind self-encrypting hard drives and some new-found security vulnerabilities that have recently been disclosed with SEDs.

  • 00:31

    GET DATA ON STUDENT APP USAGE FROM CATCHON, A NEW ED TECH SOURCE OF DATA

    in Education

    GET DATA ON STUDENT APP USAGE


    Introducing a very cool product for schools...measure the app usage by your students with CatchOn.


     

  • 00:16

    Data and Dollars with DryerBuzz

    in Culture

     


    Daily data and dollars debate with #DryerBuzz 


     


     


     


     


     

  • 00:16

    Data and Dollars with #DryerBuzz

    in Culture

    Morning data and dollars with #DryerBuzz 


    Follow the buzz DryerBuzz.com