Data lakes the key to data accuracy?| #Infa15
by Terry Fields | Aug 24, 2015
Progressing into the “total customer experience,” one of EMC’s key initiatives is the “Business Data Lake.” The idea is to have data scientists pull from a single, organized source as opposed to various chaotic sources.
Having multiple data warehouses, for instance, allows for “ponds,” which are small arms of data stored aside from the parent data, according to Barbara Latulippe, chief data governance officer at EMC, and Anand Singh, enterprise data management architect at EMC. Latulippe and Singh joined John Furrier of theCUBE, SiliconANGLE Media’s production team, at Informatica World 2015.
The data warehouses or “data lake” are of benefit to data scientists and analysts because they focus on making sense of the data in preparation for analytics, including very specific demographic details, such as age, gender, what kind of tendencies, etc, according to Latulippe and Singh.
Reducing data search and categorization effort and time
EMC has approximately eight different business cases and four main initiatives within their data science team. The ultimate idea is to reduce the amount of effort and time that goes into searching and categorizing the data. Ultimately, the key to make this work is to build a solid business and IT partnership. EMC’s success has been attributed to a mix of analytical and operational approaches.
“We can build your enterprise services in 30 days,” Singh said. “But in order to do so we must have those enterprises do their part.”
@theCUBE
#INFA15
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Barbara Latulippe and Anand Singh - Informatica World 2015 - theCUBE - #INFA15
Data lakes the key to data accuracy?| #Infa15
by Terry Fields | Aug 24, 2015
Progressing into the “total customer experience,” one of EMC’s key initiatives is the “Business Data Lake.” The idea is to have data scientists pull from a single, organized source as opposed to various chaotic sources.
Having multiple data warehouses, for instance, allows for “ponds,” which are small arms of data stored aside from the parent data, according to Barbara Latulippe, chief data governance officer at EMC, and Anand Singh, enterprise data management architect at EMC. Latulippe and Singh joined John Furrier of theCUBE, SiliconANGLE Media’s production team, at Informatica World 2015.
The data warehouses or “data lake” are of benefit to data scientists and analysts because they focus on making sense of the data in preparation for analytics, including very specific demographic details, such as age, gender, what kind of tendencies, etc, according to Latulippe and Singh.
Reducing data search and categorization effort and time
EMC has approximately eight different business cases and four main initiatives within their data science team. The ultimate idea is to reduce the amount of effort and time that goes into searching and categorizing the data. Ultimately, the key to make this work is to build a solid business and IT partnership. EMC’s success has been attributed to a mix of analytical and operational approaches.
“We can build your enterprise services in 30 days,” Singh said. “But in order to do so we must have those enterprises do their part.”
@theCUBE
#INFA15
