01. Kiyoto Tamura, Treasure Data, visits theCUBE. (00:29)
02. Overview of Treasure Data. (00:45)
03. Solving Three Major Pain Points. (01:38)
04. Customer Use Case: wish.com. (03:40)
05. The Market that Treasure Data Addresses. (06:21)
06. Using Cloud as a Data Collection Repository. (09:10)
07. Talk to the Customers. (10:29)
08. Internet of Things. (11:43)
09. Focusing on Data Analysis. (13:27)
#theCUBE #BigDataSV #TreasureData #SiliconANGLE #BigData @theCUBE
#bigdatasv
--- ---
Kiyoto Tamura, Treasure Data, at BigDataSV 2015 with Jeff Frick and Jeff Kelly
Treasure Data, Inc. offers a cloud based end-to-end platform to collect, store, and analyze data. The company, founded at the end of 2011, has just raised its Series B of funding and wants “to make data accessible to everyone,” said Kiyoto Tamura, Developer Marketing, Treasure Data, in his live interview with theCUBE co-hosts Jeff Frick and Jeff Kelly.
There are “three pinpoints when you try to kick off big data projects,” Tamura explained. The first is collecting data, ”Volume is a very important concern, but so is the variety of data, which a lot of times is in different silos, making it difficult for data scientists to access it,” he explained. Treasure Data uses its own storage to collect all kinds of data and store it, and then provide easy access through a uniform SQL interface, as well as the ability to integrate with existing business intelligence tools.
Commenting on the idea of the internet of things as the next wave in Big Data, Tamura said “the big challenge in the industrial Internet of Things is making sure you have the mechanism to collect the data that is generated. The structure is still fragmented. A lot of companies are still trying to figure out how they can utilize the data.”
Watch the full segment below, and be sure to check out even more of SiliconANGLE and theCUBE’s wall-to-wall coverage of BigDataSV.
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Kiyoto Tamura, Treasure Data | Big Data Silicon Valley 2015
01. Kiyoto Tamura, Treasure Data, visits theCUBE. (00:29)
02. Overview of Treasure Data. (00:45)
03. Solving Three Major Pain Points. (01:38)
04. Customer Use Case: wish.com. (03:40)
05. The Market that Treasure Data Addresses. (06:21)
06. Using Cloud as a Data Collection Repository. (09:10)
07. Talk to the Customers. (10:29)
08. Internet of Things. (11:43)
09. Focusing on Data Analysis. (13:27)
#theCUBE #BigDataSV #TreasureData #SiliconANGLE #BigData @theCUBE
#bigdatasv
--- ---
Kiyoto Tamura, Treasure Data, at BigDataSV 2015 with Jeff Frick and Jeff Kelly
Treasure Data, Inc. offers a cloud based end-to-end platform to collect, store, and analyze data. The company, founded at the end of 2011, has just raised its Series B of funding and wants “to make data accessible to everyone,” said Kiyoto Tamura, Developer Marketing, Treasure Data, in his live interview with theCUBE co-hosts Jeff Frick and Jeff Kelly.
There are “three pinpoints when you try to kick off big data projects,” Tamura explained. The first is collecting data, ”Volume is a very important concern, but so is the variety of data, which a lot of times is in different silos, making it difficult for data scientists to access it,” he explained. Treasure Data uses its own storage to collect all kinds of data and store it, and then provide easy access through a uniform SQL interface, as well as the ability to integrate with existing business intelligence tools.
Commenting on the idea of the internet of things as the next wave in Big Data, Tamura said “the big challenge in the industrial Internet of Things is making sure you have the mechanism to collect the data that is generated. The structure is still fragmented. A lot of companies are still trying to figure out how they can utilize the data.”
Watch the full segment below, and be sure to check out even more of SiliconANGLE and theCUBE’s wall-to-wall coverage of BigDataSV.
