Big Data Blog

Big Data Blog

By Robin Bloor on 3/25/2013 8:25 AM

Scale Up, Scale OutSUSO stands for “Scale Up Scale Out,” in that order. It suggests, correctly in my view, that in designing and implementing software architecture, the designer should first scale up to use all compute power available on each machine before scaling out to multiple machines.

By Richard Maddox on 6/3/2011 6:20 AM
Jim Discusses Leveraging Multicore Systems for Hadoop and HPC Workloads

Check out Pervasive DataRush Chief Technologist Jim Falgout at the AMD Fusion Developer Summit...
By Richard Maddox on 2/18/2011 9:09 AM
Attending the O'Reilly Strata Conference, I received lots of food for thought about the future of Big Data, as well as further validation that Pervasive DataRushTM is a good framework to respond to many...
By Richard Maddox on 1/17/2011 11:17 AM
The Intel Concurrency Checker can be used to evaluate the performance scaling of applications on multi-core systems and to help further optimize applications. It’s a tool that is used to check application...
By Richard Maddox on 12/6/2010 7:04 AM
We’ll show you how on Dec. 8 Like most software organizations yours probably needs a cost-effective approach to deliver analytics or other data-intensive solutions amid increasing data volumes and growing...
By Richard Maddox on 10/1/2010 4:14 AM
Did you notice the sea change taking place in big data computing?

Multicore processors are redefining the compute density of a single server. When fully leveraged with the right software, multicore...
By Liz Ivey on 6/23/2010 10:27 AM
You probably understand that Pervasive DataRush is a fast processing engine and is great for data preparation, but did you know that the just released version 4.4 also includes an analytics platform? Pervasive DataRush for Analytics now allows users to analyze their entire gigantic data set (instead of just a sample) and make use of the newly-available core analytics library to perform data mining operations leveraging the high throughput and scalability of the Pervasive DataRush engine.

By Richard Maddox on 4/13/2010 4:51 AM
And we’re not done yet—Pervasive DataRush is now approaching 2 Terabytes/Hour on a single server!!

Pervasive® DataRush™...
By Richard Maddox on 4/13/2010 4:51 AM
And we’re not done yet—Pervasive DataRush is now approaching 2 Terabytes/Hour on a single server!!

Pervasive® DataRush™...
By Jim Falgout on 3/15/2010 5:34 AM
I mentioned in an earlier blog, the contest...
By Jim Falgout on 3/11/2010 10:05 AM
In a recent blog, Robin Bloor discusses how parallelism is required for software to go really fast on todays multicore computers. He brings up this point about MapReduce: using MapReduce on problems...
By Jim Falgout on 3/5/2010 2:29 AM
Processors continue to become more "core dense" as we approach a watershed mark in multicore development. We've approached the point where a 4 processor system is taking on the characteristics of a "cluster...
By Azeem Jiva on 2/9/2010 1:46 AM
Traditionally Java Performance has always been a bit of a misnomer.  In the early days of Java 1.1, performance was a secondary consideration after ease of programming and usability.  But the last few years have seen some amazing performance enhancements in the JVM.  Escape Analysis, Compressed References, and other JDK7 performance enhancements.  I'm not even including the myriad of smaller changes that the Sun JVM engineers are working on.

By Richard Maddox on 12/14/2009 9:17 AM
Government data, when made available and presented effectively, can provide useful information to organizations and citizens alike. Star News Online presents compelling possibilities in the article, “Local Governments Offer Data to Miners.”...
By Azeem Jiva on 6/10/2009 2:59 AM
This year's JavaOne was a great success.  It was vibrant, and filled...

Search Big Data Blogs


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)
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

<October 2014>

Accelerating Big Data 2.0™