By: Aaron Fuller, Principal Consultant and Owner, Superior Data Strategies [email protected] Previous article on TDWI here. Although there’s considerable potential in big data, overinvesting in the technology can starve what produces consistent value …
How To Prioritise Your Big Data Analytics Use Cases
That’s it, you’ve made it. A Big Data Analytics team has been implemented in your company. A few use cases have been identified and for now, they are executed on …
SQL‐on‐Hadoop Engines for Querying Big Data in Hadoop
In a very short time, Apache Hadoop has become one of the most popular platforms for storing and managing big data. To make the data stored in Hadoop accessible for everyone and …
We want to be a data driven company
You could have been on retreat on a mountain, cut-off from all communication for the last four years, but that would be about the only excuse I can think of …
What is data-visualisation?
View PostData Categories
This article is based on content from the book, Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ (Morgan Kaufmann, 2008), by Danette McGilvray. Data categories are groupings …
10 Reasons Why You Should Attend MDM Summit & Data Governance Conference Europe
Get practical guidance from real life examples from your peers and independent speakers. One stop overview of the DG and MDM market and get your questions answered. Build or strengthen …
MDM Summit Chair, Aaron Zornes, introduces the 2015 Master Data Management Summit
Connect with the best & brightest MDM & Data Governance experts from around the world at the MDM Summit , chaired by Aaron Zornes.
Data Governance Chair, Jan Henderyckx, introduces the 2015 Data Governance Conference
Hear our conference chair Jan Henderyckx introduce the 2015 Data Governance Conference that takes place in London from 18-21 May.
Why 99% Accuracy May Not be Enough When Analysing Big Data
When you’re analysing huge amounts of Big Data, an algorithm that’s 99% accurate may not be sufficient. We use Bayes’ theorem to explain why you need better algorithms and better-quality …
The Data Model Scorecard Category 4 of 10:
How Well Does the Model Leverage Generic Structures? An application’s flexibility and data quality depend quite a bit on the underlying data model. In other words, a good data model …
Is There Such a Thing as Too Much Data?
We live in an age where all businesses are generating data, and harvesting data at the same time. The flow of information, and the speed that it is created, have …