01. Scott Gnau, Hortonworks, visits #theCUBE!. (00:21)
02. Ron Bodkin, Think Big, visits #theCUBE!. (00:32)
03. Getting Value Out of Big Data, Where We are Now. (00:50)
04. Scott's Perspective on the Evolution of the Ecosystem. (04:00)
05. The Ecosystem of Open Source Communities. (07:42)
06. The Objective of the Hortonworks/Think Big Partnership. (09:02)
07. Leveraging the Eco System: from Teradata to Hortonworks. (13:28)
08. Governing Data in Hadoop. (14:20)
09. The ROI on Hadoop 2015. (17:04)
10. Goals of the Partnership and the Next 12 Months. (18:37)
Track List created with http://www.vinjavideo.com.
--- ---
Defining the future of Big Data | #BigDataNYC
by Nelson Williams | Sep 30, 2015
Big Data is a major step forward for digital businesses, and a concept that will set the standard for the tech industry in the years to come. However, despite the many benefits of Big Data, the technology is still very young. New methods and best practices are being created around Big Data all the time, and no one has all the answers yet.
To shed some light on the topic of how Big Data is being defined for the future, Dave Vellante of theCUBE, from the SiliconANGLE Media team, invited Ron Bodkin and Scott Gnau to a discussion at BigDataNYC 2015. Bodkin is the founder and president of Think Big, a Teradata Corp. Company, while Scott Gnau is the chief technology officer at Hortonworks, Inc.
Confidence in data is the key
Collecting data is only one side of the Big Data coin, finding the value in that data is the other. Companies are still learning the best ways to gather and store data so that it can be used as an effective resource. One of the major issues is getting accurate data, not just at the point of collection, but also once the data is pulled through a company’s systems. This requires data governance.
Data governance is the practice of managing the data to preserve its value. This includes accuracy, security and maintaining privacy. Evolving solid data governance policies are key to the maturation of Big Data as a technology.
The sunset of numbers and columns
These days, data comes in many forms. The kind of information that a business can simply plug into the numbers and columns of a spreadsheet is only a fraction of what Big Data collects. Companies must consider new tools to work with Big Data. Experience with Big Data is showing an ecosystem of tools, each tuned for its own kind of data, is required.
@theCUBE
#BigDataNYC
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Community Invitation
Scott Gnau & Ron Bodkin - #BigDataNYC 2015 - #theCUBE
01. Scott Gnau, Hortonworks, visits #theCUBE!. (00:21)
02. Ron Bodkin, Think Big, visits #theCUBE!. (00:32)
03. Getting Value Out of Big Data, Where We are Now. (00:50)
04. Scott's Perspective on the Evolution of the Ecosystem. (04:00)
05. The Ecosystem of Open Source Communities. (07:42)
06. The Objective of the Hortonworks/Think Big Partnership. (09:02)
07. Leveraging the Eco System: from Teradata to Hortonworks. (13:28)
08. Governing Data in Hadoop. (14:20)
09. The ROI on Hadoop 2015. (17:04)
10. Goals of the Partnership and the Next 12 Months. (18:37)
Track List created with http://www.vinjavideo.com.
--- ---
Defining the future of Big Data | #BigDataNYC
by Nelson Williams | Sep 30, 2015
Big Data is a major step forward for digital businesses, and a concept that will set the standard for the tech industry in the years to come. However, despite the many benefits of Big Data, the technology is still very young. New methods and best practices are being created around Big Data all the time, and no one has all the answers yet.
To shed some light on the topic of how Big Data is being defined for the future, Dave Vellante of theCUBE, from the SiliconANGLE Media team, invited Ron Bodkin and Scott Gnau to a discussion at BigDataNYC 2015. Bodkin is the founder and president of Think Big, a Teradata Corp. Company, while Scott Gnau is the chief technology officer at Hortonworks, Inc.
Confidence in data is the key
Collecting data is only one side of the Big Data coin, finding the value in that data is the other. Companies are still learning the best ways to gather and store data so that it can be used as an effective resource. One of the major issues is getting accurate data, not just at the point of collection, but also once the data is pulled through a company’s systems. This requires data governance.
Data governance is the practice of managing the data to preserve its value. This includes accuracy, security and maintaining privacy. Evolving solid data governance policies are key to the maturation of Big Data as a technology.
The sunset of numbers and columns
These days, data comes in many forms. The kind of information that a business can simply plug into the numbers and columns of a spreadsheet is only a fraction of what Big Data collects. Companies must consider new tools to work with Big Data. Experience with Big Data is showing an ecosystem of tools, each tuned for its own kind of data, is required.
@theCUBE
#BigDataNYC
