Subscribe to DSC Newsletter

Michael Walker's Blog (14)

Data as Strategic Asset

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…

Continue

Added by Michael Walker on November 14, 2012 at 11:20am — No Comments

R + Hadoop = Data Analytics Heaven

 

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…

Continue

Added by Michael Walker on November 7, 2012 at 5:55pm — No Comments

Traditional BI vs Data Analytics Approach

See: …

Continue

Added by Michael Walker on October 31, 2012 at 10:37am — No Comments

Row vs Columnar vs NoSQL Databases

 

See: http://bit.ly/RWBoCk…

Continue

Added by Michael Walker on October 24, 2012 at 5:43pm — No Comments

Gale-Shapley Algorithm

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…

Continue

Added by Michael Walker on October 17, 2012 at 4:00pm — No Comments

The Emerging Data Stack and Mobile Access

 

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 means…

Continue

Added by Michael Walker on October 10, 2012 at 1:50pm — No Comments

Big Data Analytics Maturity Model

See: http://bit.ly/KQ1bsS

Added by Michael Walker on October 3, 2012 at 1:17pm — No Comments

Data Fundamentals

Becoming a data and evidence driven organization provides significant competitive advantage. Speed and accuracy of insight, delivered across any device including smart phones and tablets, means organizations can make better, faster decisions. The goal is for the entire organization…

Continue

Added by Michael Walker on September 26, 2012 at 1:00pm — No Comments

Predictive, Descriptive, Prescriptive Analytics

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…

Continue

Added by Michael Walker on September 19, 2012 at 2:57pm — No Comments

Modern BI Architecture & Analytical Ecosystems

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 2:52pm — No Comments

Eight Levels of Analytics for Competitive Advantage

Optimization answers the question: How do we do things better? What is the best decision for a complex problem?

Example: Given business priorities, resource constraints and available technology, determine the best way to optimize your IT platform to satisfy the needs of every…
Continue

Added by Michael Walker on September 6, 2012 at 2:30pm — No Comments

Big Data Vendor Landscape

Big Data Vendor Landscape

Companies, products, and technologies included in the Big Data Landscape:

-…

Continue

Added by Michael Walker on August 30, 2012 at 5:57pm — No Comments

Hadoop Technology Stack

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 1:00pm — No Comments

Percolator, Dremel and Pregel: Alternatives to Hadoop

Percolator, Dremel and Pregel: Alternatives to Hadoop



Hadoop (MapReduce where code is turned into map and reduce jobs, and Hadoop runs the jobs) is great at crunching data yet inefficient for analyzing data because each time you add, change or manipulate data you must stream over the entire dataset.

In most organizations, data is always…

Continue

Added by Michael Walker on August 12, 2012 at 12:49pm — No Comments

On Data Science Central

© 2019   AnalyticBridge.com is a subsidiary and dedicated channel of Data Science Central LLC   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service