01. Jim McHugh, Cisco, Visits #theCUBE. (00:22)
02. Focusing on Extracting Value from Data. (01:08)
03. Spark Continues to Simplify the Process. (02:15)
04. The Internet of Everything and Mega Data Centers. (04:00)
05. Being Truly Unified in Big Data. (05:53)
06. Upcoming Keynote: Data Created at the Edge. (08:20)
07. A Balance Between Spark and Non-Spark Solutions. (09:54)
08. Changing Lives through Data Analytics. (10:32)
09. Some Data Will Never Hit the Database. (13:59)
10. Cisco Believes in Connection at the Edge. (15:30)
11. More Demand for Integration, Solutions and Insights. (19:47)
Track List created with http://www.vinjavideo.com.
--- ---
Are we beyond Hadoop? | #BigDataNYC
by Andrew Ruggiero | Sep 29, 2015
Is Hadoop the past and Spark the now? Jim McHugh, VP of marketing at Cisco Systems, Inc., weighed in on the topic as he revealed his thoughts on the Big Data trends of past, present and future. McHugh joined John Furrier and Dave Vellante, cohosts of theCUBE, from the SiliconANGLE Medis team, during BigDataNYC 2015.
Where does the data go?
McHugh inferred strongly that the application is king. This has created two environments where popular, well-known applications are locked into large mainframes for support. New applications, he noted, are often placed on the cloud because the application needs may not be known. This creates essentially two separate systems or environments for some customers. McHugh stressed that business outcomes are critical to Cisco and its customers so integration is required and provided.
On the edge, such as the Internet of Things, a great deal of data is generated, and it’s necessary to make proactive decisions about whether or not the data should be stored at all. This is driving a movement of analyzing data in real time to make determinations. McHugh explained that Spark gets its edge from how simple it is to use and is an elegant solution to the problems that are common to Hadoop.
The future
Cisco is helping to drive the conversation and partnerships between companies to create an open space and commonality to solve industry problems. As McHugh said, you can’t have unprepared data for analytics and you can’t have analytics without data. The biggest issue to address is determining what data is important and should go to a data center and what’s trash. Then of the stored data, preparation of that data will be hugely important going forward, especially for those in the data analytics space.
@theCUBE
#BigDataNYC
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
BigData NYC 2015 | New York. If you don’t think you received an email check your
spam folder.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Register For BigData NYC 2015 | New York
Please fill out the information below. You will recieve an email with a verification link confirming your registration. Click the link to automatically sign into the site.
You’re almost there!
We just sent you a verification email. Please click the verification button in the email. Once your email address is verified, you will have full access to all event content for BigData NYC 2015 | New York.
I want my badge and interests to be visible to all attendees.
Checking this box will display your presense on the attendees list, view your profile and allow other attendees to contact you via 1-1 chat. Read the Privacy Policy. At any time, you can choose to disable this preference.
Select your Interests!
add
Upload your photo
Uploading..
OR
Connect via Twitter
Connect via Linkedin
EDIT PASSWORD
Share
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
BigData NYC 2015 | New York. If you don’t think you received an email check your
spam folder.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Sign in to gain access to BigData NYC 2015 | New York
Please sign in with LinkedIn to continue to BigData NYC 2015 | New York. Signing in with LinkedIn ensures a professional environment.
Are you sure you want to remove access rights for this user?
Details
Manage Access
email address
Community Invitation
Jim McHugh, Cisco - #BigDataNYC 2015 - #theCUBE
01. Jim McHugh, Cisco, Visits #theCUBE. (00:22)
02. Focusing on Extracting Value from Data. (01:08)
03. Spark Continues to Simplify the Process. (02:15)
04. The Internet of Everything and Mega Data Centers. (04:00)
05. Being Truly Unified in Big Data. (05:53)
06. Upcoming Keynote: Data Created at the Edge. (08:20)
07. A Balance Between Spark and Non-Spark Solutions. (09:54)
08. Changing Lives through Data Analytics. (10:32)
09. Some Data Will Never Hit the Database. (13:59)
10. Cisco Believes in Connection at the Edge. (15:30)
11. More Demand for Integration, Solutions and Insights. (19:47)
Track List created with http://www.vinjavideo.com.
--- ---
Are we beyond Hadoop? | #BigDataNYC
by Andrew Ruggiero | Sep 29, 2015
Is Hadoop the past and Spark the now? Jim McHugh, VP of marketing at Cisco Systems, Inc., weighed in on the topic as he revealed his thoughts on the Big Data trends of past, present and future. McHugh joined John Furrier and Dave Vellante, cohosts of theCUBE, from the SiliconANGLE Medis team, during BigDataNYC 2015.
Where does the data go?
McHugh inferred strongly that the application is king. This has created two environments where popular, well-known applications are locked into large mainframes for support. New applications, he noted, are often placed on the cloud because the application needs may not be known. This creates essentially two separate systems or environments for some customers. McHugh stressed that business outcomes are critical to Cisco and its customers so integration is required and provided.
On the edge, such as the Internet of Things, a great deal of data is generated, and it’s necessary to make proactive decisions about whether or not the data should be stored at all. This is driving a movement of analyzing data in real time to make determinations. McHugh explained that Spark gets its edge from how simple it is to use and is an elegant solution to the problems that are common to Hadoop.
The future
Cisco is helping to drive the conversation and partnerships between companies to create an open space and commonality to solve industry problems. As McHugh said, you can’t have unprepared data for analytics and you can’t have analytics without data. The biggest issue to address is determining what data is important and should go to a data center and what’s trash. Then of the stored data, preparation of that data will be hugely important going forward, especially for those in the data analytics space.
@theCUBE
#BigDataNYC
