Ankur Gupta, MetaScale, at BigDataSV 2014 with John Furrier and Jeff Frick
@thecube
#BigDataSV
During the last day of Strata Conf 2014, theCUBE co-hosts John Furrier and Jeff Kelly interviewed Ankur Gupta, General Manager with MetaScale, talking about the evolution of the industry in general and the evolution of MetaScale in particular.
“Since the last time we spoke about Metascale, we announced our Hadoop appliance. We saw that the market needed a ready-to-go Hadoop appliance that could come with fully-managed services and would be implemented quickly, so that the companies would not have to go through the pain of putting the hardware together, understanding which Hadoop software/distribution they need to use, and then implement that hardware in their data center,” said Gupta.
“What is the big trend that’s lifting up your value proposition?” asked Furrier.
“We’ve identified several types of customers: 1) the companies in the early phase of Hadoop, which are exploring their Big Data strategies. Here our experience comes really handy. We help companies with their strategies and with developing their big data centers of excellence, how to use Hadoop and build use-cases around it; 2) then there are the advance stage customers who already have Hadoop infrastructure and are now interested in putting big data science on top of Hadoop, utilizing it to manage their data better, getting more out of the different sources data coming to them; 3) companies that started their Hadoop journey because their internal IT staff said they could do it but who, after some investigations, don’t know what to do about it,” explained Gupta.
One of the reports published by Wikibon singled out that one of the reasons companies fail in implementing Hadoop is because they don’t have talent or they don’t have use-cases or an efficient use of their infrastructure, noted Gupta.
Deploying Hadoop, Big Data
.
“What are the verticals you see?” asked Furrier.
“Because we have a retailing background, it sometimes gets very hard for us to work with other retailers. They see value in what we bring to the table, but they might not feel comfortable working with a company originating from another retailer,” confessed Gupta. “We see a lot of traction in healthcare – managing the data and making sense of it seems more important for them. The financial sector uses Hadoop not only to manage data but for all the batch processes, to reduce their expensive EDW footprints. That’s the demand we see in the financial sector.”
“With all these platform wars going on, and you having a platform as well, what does it take to have a successful platform?” asked Furrier. “What are some of the myths regarding the way the customers think the platforms should look like?”
“This is one big problem we saw in the market, which is why we launched our Hadoop appliance. There’s a differenciation between a BU (Business Unit), who wants to use Hadoop to make sense out of the data, and a Central IT who is busy with the daily tasks. They are not always building the Hadoop infrastructure. BU wants it but they don’t have the IT to manage it, while Central IT doesn’t necessarily have time or resources to build it.
“This is when our Hadoop appliance comes into play. It’s a ready-to-go Hadoop infrastructure with three main benefits: 1) it comes with our own reference architecture and our knowledge of what has been successful in the market, while managing Hadoop in large enterprises; 2) it’s a complete 24/7 managed services. A company doesn’t need to worry about taking care of the infrastructure or about buying or hiring resources to manage the infrastructure. It’s our job to fully manage it; 3) it’s as easy to use and deploy as plug and play.”
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Ankur Gupta - BigDataSV 2014 - theCUBE
Ankur Gupta, MetaScale, at BigDataSV 2014 with John Furrier and Jeff Frick
@thecube
#BigDataSV
During the last day of Strata Conf 2014, theCUBE co-hosts John Furrier and Jeff Kelly interviewed Ankur Gupta, General Manager with MetaScale, talking about the evolution of the industry in general and the evolution of MetaScale in particular.
“Since the last time we spoke about Metascale, we announced our Hadoop appliance. We saw that the market needed a ready-to-go Hadoop appliance that could come with fully-managed services and would be implemented quickly, so that the companies would not have to go through the pain of putting the hardware together, understanding which Hadoop software/distribution they need to use, and then implement that hardware in their data center,” said Gupta.
“What is the big trend that’s lifting up your value proposition?” asked Furrier.
“We’ve identified several types of customers: 1) the companies in the early phase of Hadoop, which are exploring their Big Data strategies. Here our experience comes really handy. We help companies with their strategies and with developing their big data centers of excellence, how to use Hadoop and build use-cases around it; 2) then there are the advance stage customers who already have Hadoop infrastructure and are now interested in putting big data science on top of Hadoop, utilizing it to manage their data better, getting more out of the different sources data coming to them; 3) companies that started their Hadoop journey because their internal IT staff said they could do it but who, after some investigations, don’t know what to do about it,” explained Gupta.
One of the reports published by Wikibon singled out that one of the reasons companies fail in implementing Hadoop is because they don’t have talent or they don’t have use-cases or an efficient use of their infrastructure, noted Gupta.
Deploying Hadoop, Big Data
.
“What are the verticals you see?” asked Furrier.
“Because we have a retailing background, it sometimes gets very hard for us to work with other retailers. They see value in what we bring to the table, but they might not feel comfortable working with a company originating from another retailer,” confessed Gupta. “We see a lot of traction in healthcare – managing the data and making sense of it seems more important for them. The financial sector uses Hadoop not only to manage data but for all the batch processes, to reduce their expensive EDW footprints. That’s the demand we see in the financial sector.”
“With all these platform wars going on, and you having a platform as well, what does it take to have a successful platform?” asked Furrier. “What are some of the myths regarding the way the customers think the platforms should look like?”
“This is one big problem we saw in the market, which is why we launched our Hadoop appliance. There’s a differenciation between a BU (Business Unit), who wants to use Hadoop to make sense out of the data, and a Central IT who is busy with the daily tasks. They are not always building the Hadoop infrastructure. BU wants it but they don’t have the IT to manage it, while Central IT doesn’t necessarily have time or resources to build it.
“This is when our Hadoop appliance comes into play. It’s a ready-to-go Hadoop infrastructure with three main benefits: 1) it comes with our own reference architecture and our knowledge of what has been successful in the market, while managing Hadoop in large enterprises; 2) it’s a complete 24/7 managed services. A company doesn’t need to worry about taking care of the infrastructure or about buying or hiring resources to manage the infrastructure. It’s our job to fully manage it; 3) it’s as easy to use and deploy as plug and play.”
