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5 Big Data Apps with Effective Use Cases

  • 5 Big Data Apps with Effective Use Cases

    5 Big Data Apps with Effective Use Cases
  • Big Data application: Roambi

     Big Data application: Roambi
    One thing often overlooked in the rush towards data-driven decision making is mobility. Increasingly mobile workforces need more ways to manipulate data from a smartphone that just basic business tools, which are so often stripped down for mobile. Mobile workers need the ability to access and analyze the same business data they use in the office in order to make smart, on-the-go decisions. Roambi contends that it was founded to solve this very problem. Roambi’s goal is to reinvent the mobile business app to improve the productivity and decision-making of on-the-go employees. Roambi re-designs the way people interact with, share, and present data from a completely mobile perspective.
  • Big Data application: Esri ArcGIS

    Big Data application: Esri ArcGIS
    Esri ArcGIS, as the name implies, is a Geographic Information System (GIS) that makes it easy to create data-driven maps and visualizations.
  • Big Data Application: Cloudera Enterprise

    Big Data Application: Cloudera Enterprise
    Not long after nailing down one of the (if not the) biggest funding rounds in history, Cloudera is now making inroads into the Internet of Things market with its app, locking down a deal with a major home automation company in mid-July. Oh, and I almost forgot: that close partnership with/funding from Intel is something you just can’t ignore either.
  • Big Data application: Zaloni Bedrock

    Big Data application: Zaloni Bedrock
    Many businesses know they want to implement a Hadoop data lake, but don’t know how to do so in a cost-effective, scalable way. With Zaloni Bedrock, the process is automated. According to Zaloni, you set it up once and you’re done. It doesn’t matter how much data you are adding to the lake, since there is no technical limit.
  • Big Data application: Tamr

    Big Data application: Tamr
    Tamr is a data-connection and machine-learning platform designed to make enterprise data as easy to find, explore, and use as Google. According to Tamr, due to the cost and complexity of connecting and preparing the vast, untapped reserves of data sources available for analysis, most organizations use less than 10 percent of the relevant data available to them.
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5 Big Data Apps with Effective Use Cases

  • 1 of
  • 5 Big Data Apps with Effective Use Cases

    5 Big Data Apps with Effective Use Cases

  •  Big Data application: Roambi

    Big Data application: Roambi

    One thing often overlooked in the rush towards data-driven decision making is mobility. Increasingly mobile workforces need more ways to manipulate data from a smartphone that just basic business tools, which are so often stripped down for mobile. Mobile workers need the ability to access and analyze the same business data they use in the office in order to make smart, on-the-go decisions. Roambi contends that it was founded to solve this very problem. Roambi’s goal is to reinvent the mobile business app to improve the productivity and decision-making of on-the-go employees. Roambi re-designs the way people interact with, share, and present data from a completely mobile perspective.
  • Big Data application: Esri ArcGIS

    Big Data application: Esri ArcGIS

    Esri ArcGIS, as the name implies, is a Geographic Information System (GIS) that makes it easy to create data-driven maps and visualizations.
  • Big Data Application: Cloudera Enterprise

    Big Data Application: Cloudera Enterprise

    Not long after nailing down one of the (if not the) biggest funding rounds in history, Cloudera is now making inroads into the Internet of Things market with its app, locking down a deal with a major home automation company in mid-July. Oh, and I almost forgot: that close partnership with/funding from Intel is something you just can’t ignore either.
  • Big Data application: Zaloni Bedrock

    Big Data application: Zaloni Bedrock

    Many businesses know they want to implement a Hadoop data lake, but don’t know how to do so in a cost-effective, scalable way. With Zaloni Bedrock, the process is automated. According to Zaloni, you set it up once and you’re done. It doesn’t matter how much data you are adding to the lake, since there is no technical limit.
  • Big Data application: Tamr

    Big Data application: Tamr

    Tamr is a data-connection and machine-learning platform designed to make enterprise data as easy to find, explore, and use as Google. According to Tamr, due to the cost and complexity of connecting and preparing the vast, untapped reserves of data sources available for analysis, most organizations use less than 10 percent of the relevant data available to them.
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Even if your organization is compelled to become more data-driven, many don’t know how to transform themselves out of the use-your-gut mentality and into a data-first one.

The easiest way? Take shortcuts by refusing to reinvent the wheel and following the trails blazed by early adopters. Here are 5 cool Big Data apps, along with the use cases (and end users) that are helping to change the meaning of “business as usual.”

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