A Data Science Central Community
Both data warehouse managers…Continue
Added by Vincent Granville on July 22, 2013 at 7:30pm — No Comments
I will start this article with an analogy:
Added by Vincent Granville on July 20, 2013 at 10:30pm — No Comments
Data discovery’s next chapter will see an explosion in analytics globally – from tens of thousands of data analysts today to tens of millions of business users within five years. Key drivers will be further advances in easy-to-use interfaces, the marriage of data discovery and unified information access (UIA) and greater mobile capabilities. This is in keeping with the shift in enterprise spending from legacy database architectures with rigid historical reporting to real-time, event-driven,…Continue
Added by Gabriel Lowy on July 12, 2013 at 3:16pm — No Comments
GE’s entry into cloud and analytics should serve as a clarion call to organizations everywhere about not whether, but how to extract value from big data. GE will leverage industrial data to drive the three pillars of return on investment (ROI): reducing costs for itself and its customers, raising productivity of people and equipment, and generating incremental revenues. The Industrial Internet can be more significant for GE than Six Sigma was in the 1980s.
The most notable aspect of…Continue
Added by Gabriel Lowy on July 12, 2013 at 3:11pm — No Comments
The issue with truly big data is that you will end up with field separators that are actually data values (text data). What are the chances to find a double tab in a one GB file? Not that high. In an 100 TB file, the chance is very high. Now the question is: is it a big issue, or maybe it's fine as long as less than 0.01% of the data is impacted. In some cases, once the glitch occurs,…Continue
I looked at traffic statistics of popular 'big data' websites: publishers, media companies. I noticed that most are tanking. Most of these websites were two stars (US traffic rank better than 100,000) a few months ago.
Two of them (AllAnalytics,…Continue
In this series I reveal and explain rules of intelligence contained within grammar, that can be utilized to unleash intelligence in software. These rules are extremely simple, but still undiscovered by scientists.
To be able to explain making assumptions, we need to understand (the difference with) drawing conclusions first:
• Conclusions are drawn straight ahead - top-down - like in: Given "John is a father." and "…
Added by Menno Mafait on June 19, 2013 at 9:42pm — No Comments
Added by Vincent Granville on June 6, 2013 at 9:30am — No Comments
Database Trends and Applications introduces the inaugural “DBTA 100,” a list of the companies that matter most in data. The past several years have transformed enterprise information management, creating challenges and opportunities for companies seeking to extract value from a sea of data assets. In response to this, established IT vendors as well as legions of newer solution providers have rushed…Continue
Added by Vincent Granville on June 4, 2013 at 7:30am — No Comments
This discussion is about visualization. The three Vs of big data (volume, velocity, variety) or the three skills that make a data scientist (hacking, statistics, domain expertise) are typically visualized using a Venn diagram, representing all the potential 8 combinations through set intersections. In the case of big data, I believe (visualization, veracity, value) are more important than (volume, velocity, variety),…Continue
Added by Vincent Granville on May 31, 2013 at 4:30pm — No Comments
Published by Jeff Vance at Startup50. Which ones are missing? I would add Pervasive, Tableau, Splunk, Lavastorm, Yottamine, Alteryx, Pivotal as well as non-product companies. For instance, publishers like…Continue
In this series I reveal rules of intelligence contained within grammar, and explain how they can be utilized to unleash intelligence in software. These rules are extremely simple, but still undiscovered by scientists.
Under certain conditions, three types of conclusions that can be generated autonomously:
1) Specification substitution conclusion:
• Given "John is a father" and "A father is a man";
• Because of the common word…
Added by Menno Mafait on April 15, 2013 at 1:48am — No Comments
Assuring user experience should be the top priority among big data projects for enterprises and cloud service providers. Megatrends such as mobile, cloud and social drive the need for application awareness via better visibility and control. With survey after survey showing availability as the #1 priority, spending on user experience assurance, also known as application performance management (APM) is expected to remain strong. However, only solutions that cover…Continue
Added by Gabriel Lowy on May 15, 2013 at 3:00pm — No Comments
Guest blog post by Sandeep Raut, director - BI & Analytics, Syntel.
All the industry leaders like Wal-Mart, Axa, Citibank, Humana, GE and…Continue
Added by Vincent Granville on May 18, 2013 at 12:30pm — No Comments
With big data come a few challenges: we've already mentioned the curse of big data. But what can we do when data flows faster than it can be processed?…Continue
Bit.ly is an URL shortener (like tinyurl.com), but it offers much more than redirect services (everybody can create a redirect service), thanks to its interesting reporting capabilities. They recently hired a famous data scientist, Hilary Mason, see picture below.…Continue
Added by Vincent Granville on April 20, 2013 at 4:30pm — No Comments
Sqrrl views Big Data market as 11 large segments (isn't analytics / data science missing?):
Added by Vincent Granville on March 31, 2013 at 8:00am — No Comments
I selected a few from this Google search. Which one is best? Re-usable in other contexts? What about videos showing growth over time, or more sophisticated graphs…Continue
Added by Vincent Granville on March 28, 2013 at 9:00pm — No Comments