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Data Management
Anne Belder 0
Hadoop: the game-changer in banking

At most banks, data is stored in separate databases and data warehouses. Customer data is stored in marketing databases, fraud analyses are done on transactional data, and risk data is stored in risk data warehouses. Oftentimes even liquidity, credit, market, and operational risk data is stored separately as well. Bringing

SAS Administrators
Stuart Rogers 0
SAS and Hadoop—living in the same house

So, with the simple introduction in Understanding Hadoop security, configuring Kerberos with Hadoop alone looks relatively straightforward. Your Hadoop environment sits in isolation within a separate, independent Kerberos realm with its own Kerberos Key Distribution Center. End users can happily type commands as they log into a machine hosting the

Advanced Analytics | Analytics | Customer Intelligence | Data Management
Alan Lipson 0
Get your house in order to cash in on retail’s omnichannel promise

Would you build a house without a proper foundation? Most of us wouldn’t dare, but that’s exactly what many retail businesses are doing today. When building a house, if you don’t get the foundation right, paint, wallpaper and fixtures won’t matter much. It’s no different in the retail industry. Success

Data Visualization
Sanjay Matange 0
CandleStick Chart

A HighLow plot is very popular in the financial industry, often used to track the periodic movement of a stock or some instrument or commodity.  The CandleStick Chart is one specific type of high low plot, purportedly originating in Japan for tracking of financial instruments in the rice trade. Creating a

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