Big Data Blog

Big Data Blog

By Paige Roberts on 9/23/2013 9:29 AM

Same great content. Same great bloggers. Just at a new URL: http://blogs.actian.com

By Jim Harris on 9/17/2013 7:10 AM

Although big data turbocharges information overload, a lot of what we relentlessly datafy and digitize also turbocharges information underwhelm.  So, while you are scratching your head trying to tell the difference between signal and noise, don’t try to understand every bump you will no doubt discover atop your head.

By Julie Hunt on 9/3/2013 6:50 AM

Marketers need continuously updated and comprehensive views of customers and prospects, either as individuals or as segments, to improve communications and support during the buying process. New digital marketing technology advances such as marketing automation and adaptive marketing require very precise customer intelligence. Many information sources for advanced analytics fall into the ‘big data’ category, which requires specialized skills and analytics processes.

By Phil Simon on 8/29/2013 6:53 AM

Yes, Simpson's Paradox existed well before the advents of YouTube, Instagram, Twitter. With so much information available to us, what truths will it mask? What's more, an increasing percentage of this data is unstructured and, I would argue, subject to some level of interpretation. Big Data will lead to some big discoveries and insights, but also some big mistakes.

By Jim Harris on 8/19/2013 7:11 AM

“Instead of reconstructing representations of what they see with their eyes,” Langseth explained, “data artists need the ability to create new ways for our eyes to see the massive flows of data within an organization.  They need to be able to portray facts, flow, and patterns that are not necessarily visible to the average business decision maker.  The visualizations these artists create can be a powerful way to translate terabytes of data into meaningful business information.”

By Phil Simon on 8/12/2013 7:00 AM

Everyone is talking about Big Data, but relatively few organizations are actually doing anything with it. To that end, there’s tremendous upside for skilled organizations and first movers—and it won’t last forever. In other words, when the bar is low, the time to act is now.

By Paige Roberts on 8/8/2013 7:00 AM

I was a fly on the wall for an interesting conversation on Twitter between two UK centered BI / Analytics and Data Warehouse consultants, Jacqui Taylor of Flying Binary, and Joe Harris. Their conversation got me thinking about the big data gravitational giant that Hadoop has become, and where we fit in its orbit.

By Julie Hunt on 8/5/2013 7:15 AM

A growing number of cities around the world are pursuing “Smart City” initiatives to better connect the physical and the digital worlds in ways that will benefit citizens, the administration of the city, its services and its resources. Technologies for transportation, utilities, communications, and many other aspects of urban life are evolving faster than overall management strategies. Volumes of data are created every day, but cities still lag on fully gaining advantage and citizen benefit from this information.

Search Big Data Blogs

Tags

Big Data (126)
Analytics (66)
Pervasive (50)
DataRush (33)
Hadoop (31)
Industry trends (22)
predictive analytics (20)
Scalability (20)
Multicore (15)
Data Mining (12)
Parallelism (10)
Java (9)
Jim Harris (9)
KNIME (9)
Cloud (8)
Cyber Security (8)
MapReduce (8)
big data analytics (7)
Data Volumes (7)
Data Warehouse (7)
RushAnalytics (7)
Volumes (7)
Actian (6)
Algorithms (6)
Cost-effective (6)
David Loshin (6)
Decision Support (6)
Julie Hunt (6)
RushAnalyzer (6)
analytics tools (5)
Dataflow (5)
machine learning (5)
Data Science (4)
Forrester (4)
Google (4)
Green IT (4)
Healthcare (4)
Phil Simon (4)
YARN (4)
analytics processes (3)
Big Data Science (3)
BigQuery (3)
Bloor (3)
data centers (3)
data integration (3)
Data Preparation (3)
data tools (3)
data-driven (3)
DataMatcher (3)
machine generated data (3)
Malstone B (3)
Mike Hoskins (3)
Opera Solutions (3)
Retail Analytics (3)
Security (3)
Smart Grid (3)
software (3)
Solutions (3)
telecommunications (3)
transportation analytics (3)
Age of Data (2)
analytics accuracy (2)
architecture (2)
Austin (2)
Bloor Research (2)
Business Intelligence (2)
data management (2)
Data Rush (2)
David Inbar (2)
David Norris (2)
fraud (2)
fraud detection (2)
Gartner (2)
GigaOM (2)
Hadoop Summit (2)
IntegrationWorld (2)
intelligent transportation systems (2)
internet of things (2)
McKinsey (2)
meetup (2)
ParAccel (2)
Pervasive DataRush (2)
Rexer Analytics (2)
smart meters (2)
#FollowFriday (1)
a (1)
Amazon (1)
analytics workflow (1)
Application Development (1)
automation (1)
Benchmarks (1)
best practices (1)
Cloud Analytics Summit (1)
cloud computing (1)
Cloudera (1)
contests (1)
cost (1)
cyber security issues (1)
data flow architecture (1)
Data Integrator - Hadoop Edition (1)
data quality (1)
data visualization (1)
digital marketing (1)
Door64 (1)
easy big data analytics (1)
Ericson (1)
Esri (1)
Facebook (1)
Fuzzy Matching (1)
Goverment (1)
Hadoop User Group (1)
Hadoop World (1)
hardware (1)
HBase (1)
HDFS (1)
industrial internet (1)
Jazoon (1)
Jim Falgout (1)
MalStoneB (1)
Mansour Raad (1)
Neil Raden (1)
Netflix (1)
NetFlow (1)
operational intelligence (1)
Paige Roberts (1)
para (1)
PIG (1)
pilot projects (1)
Predictive Analytics World (1)
psychohistory (1)
Public Sector (1)
Redshift (1)
Robin Bloor (1)
ROI (1)
Rosaria Silipo (1)
RushAccelerator (1)
RushLoader (1)
Sampling (1)
Signal and Noise (1)
SmartDataCollective (1)
spatial analytics (1)
speed (1)
sports (1)
Stephen Swoyer (1)
Steve Shine (1)
Strata (1)
SXSW (1)
Telecom Analytics (1)
Telecommunications Industry Association (1)
TIA (1)
Transportation (1)
TurboRush (1)
VectorWise (1)
Zementis (1)

Latest Posts

Actian Big Data & Analytics Blog has MOVED!
Big Data Phrenology
Big Data, Simpson's Paradox and Sufficient Tools
Data Science and the Art of Data Visualization

Big Data Blog Archives

Archive
<April 2014>
SunMonTueWedThuFriSat
303112345
6789101112
13141516171819
20212223242526
27282930123
45678910
Monthly
Go

Accelerating Big Data 2.0™