Pivotal’s Big Data Suite captures data, insights and then operationalizes findings| #HadoopSummit
by Elizabeth Kays | Jun 23, 2015
Sundeep Madra, VP and GM of the Data Product Group at Pivotal Software, Inc., told theCUBE at Hadoop Summit about the solutions Pivotal is offering in the Big Data space.
“Last year, we launched the Big Data Suite, which is a packaging of our Big Data Products,” Madra said. “What we’re doing now is we’re continuing to push with that Big Data Suite, and we’ve enhanced that offering.”
Pivotal has also added Spark to the Big Data Suite, Redis, Rabbit, and Pivotal Cloud Foundry entitlement. Madra says that the company is now focusing on helping customers along the data journey to capture the data, working to get insight from it and then operationalizing those findings and applications. “We use our data science group and Pivotal labs to really come in and build applications,” he added.
Focusing on the Cloud
Along with Big Data, Pivotal is also focusing on Cloud.
“There’s two huge pushes that we’re seeing,” Madra said. “One is this push to Cloud across the board. And then once you push into the Cloud, it’s really being about Cloud native and leveraging … the underlying next-generation architectures. And that’s what the Quickstep technology really allows us to do. One, it really allows us to take our technologies and make them more Cloud native, and then two, leveraging underlying hardware in a more efficient way.”
But some of the biggest advances Madra has seen are in data integration.
“What we’re really starting to see is, specifically in enterprise, which is pushing hard to leverage these systems of intelligence, is they have this need where they need to take standard, structured, relational data and correlate it with unstructured data,” he stated. “And that’s where the Big Data Suite really comes in for our customers and helps them solve problems.”
Madra gave an example of a traditional brick-and-mortar retailer. “You have a transactional relational system that’s storing your transaction information. And now you want to leverage that information for some new intelligence,” he said. “Let’s say you want to look at the security camera information from what’s going on in your parking lots to better understand how you should shift your … staffing hours. And so that’s when you have to take a traditional dataset and combine it with something that’s unstructured like video. Then you run that through some Hadoop jobs to extract some relational information from there, and then correlate those two things together.”
The Big Data Suite was designed to do exactly that, he said, “really coming into play where customers can’t fully move to Hadoop and they need to leverage their existing systems.” It also simplifies the process. “We allow them to do that by having a single point, a single skew that they can purchase from us.”
@theCUBE
#HadoopSummit
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Pivotal’s Big Data Suite captures data, insights and then operationalizes findings| #HadoopSummit
by Elizabeth Kays | Jun 23, 2015
Sundeep Madra, VP and GM of the Data Product Group at Pivotal Software, Inc., told theCUBE at Hadoop Summit about the solutions Pivotal is offering in the Big Data space.
“Last year, we launched the Big Data Suite, which is a packaging of our Big Data Products,” Madra said. “What we’re doing now is we’re continuing to push with that Big Data Suite, and we’ve enhanced that offering.”
Pivotal has also added Spark to the Big Data Suite, Redis, Rabbit, and Pivotal Cloud Foundry entitlement. Madra says that the company is now focusing on helping customers along the data journey to capture the data, working to get insight from it and then operationalizing those findings and applications. “We use our data science group and Pivotal labs to really come in and build applications,” he added.
Focusing on the Cloud
Along with Big Data, Pivotal is also focusing on Cloud.
“There’s two huge pushes that we’re seeing,” Madra said. “One is this push to Cloud across the board. And then once you push into the Cloud, it’s really being about Cloud native and leveraging … the underlying next-generation architectures. And that’s what the Quickstep technology really allows us to do. One, it really allows us to take our technologies and make them more Cloud native, and then two, leveraging underlying hardware in a more efficient way.”
But some of the biggest advances Madra has seen are in data integration.
“What we’re really starting to see is, specifically in enterprise, which is pushing hard to leverage these systems of intelligence, is they have this need where they need to take standard, structured, relational data and correlate it with unstructured data,” he stated. “And that’s where the Big Data Suite really comes in for our customers and helps them solve problems.”
Madra gave an example of a traditional brick-and-mortar retailer. “You have a transactional relational system that’s storing your transaction information. And now you want to leverage that information for some new intelligence,” he said. “Let’s say you want to look at the security camera information from what’s going on in your parking lots to better understand how you should shift your … staffing hours. And so that’s when you have to take a traditional dataset and combine it with something that’s unstructured like video. Then you run that through some Hadoop jobs to extract some relational information from there, and then correlate those two things together.”
The Big Data Suite was designed to do exactly that, he said, “really coming into play where customers can’t fully move to Hadoop and they need to leverage their existing systems.” It also simplifies the process. “We allow them to do that by having a single point, a single skew that they can purchase from us.”
@theCUBE
#HadoopSummit
