Added by Michael Walker on December 12, 2012 at 2:30pm — No Comments
Added by Michael Walker on December 5, 2012 at 9:00am — No Comments
Data Veracity, uncertain or imprecise data, is often overlooked yet may be as important as the 3 V's of Big Data: Volume, Velocity and…Continue
Added by Michael Walker on November 28, 2012 at 3:00pm — No Comments
Transforming into a data-driven organization - turning information into actionable insights is a three (3 ) part strategy:
• Technology – build a modern BI/DW architecture & analytics ecosystem with…
Added by Michael Walker on November 14, 2012 at 9:22am — No Comments
Hadoop (MapReduce where code is turned into map and reduce jobs, and Hadoop runs the jobs) is the most well known technology used for "Big Data" because it allows an organization to store huge quantities of data at very low…Continue
Added by Michael Walker on November 7, 2012 at 3:57pm — No Comments
Al Roth along with Lloyd Shapley won the Nobel Prize for matching and the design of new types of markets. The Gale-Shapley algorithm is a cornerstone of the matching methods Al Roth pioneered. The algorithm has been extended by Roth and computer scientists including Don Knuth to apply "Matching Theory" to design…Continue
Added by Michael Walker on October 17, 2012 at 1:30pm — No Comments
The emerging "Data Stack" or "Data Layer" is in full transition and can be viewed and defined many different ways. The ability to capture, analyze and learn from data generated at unprecedented scale, combined with…Continue
Added by Michael Walker on October 10, 2012 at 10:52am — No Comments
Added by Michael Walker on September 26, 2012 at 10:00am — No Comments
The goal of Data Analytics (big and small) is to get actionable insights resulting in smarter decisions and better business outcomes. How you architect business technologies and design data analytics processes to get valuable, actionable insights varies.
It is critical to design and build a data warehouse / business intelligence…
Added by Michael Walker on September 19, 2012 at 11:57am — No Comments
The goal is to design and build a data warehouse / business intelligence (BI) architecture that provides a flexible, multi-faceted analytical ecosystem for each unique organization.
A traditional BI architecture has analytical processing first pass through a data warehouse.
In the new, modern BI architecture, data reaches users…Continue
Added by Michael Walker on September 12, 2012 at 11:53am — No Comments
Copyright © SAS Institute Inc., Cary, NC, USA. All Rights Reserved. Used with permission.
Optimization answers the question: How do we do things better? What is the…Continue
Companies, products, and technologies included in the Big Data Landscape:
Added by Michael Walker on August 30, 2012 at 2:58pm — No Comments
The Hadoop stack includes more than a dozen components, or subprojects, that are complex to deploy and manage. Installation, configuration and production deployment at scale is challenging.
The main components…Continue
Added by Michael Walker on August 22, 2012 at 9:40am — No Comments