HP updates Neoview to better handle operational BI workloads
New data warehouse can simultaneously handle massive short queries and complex ones
- New Windows worm builds massive botnet
- 7 ways to cut your software costs during the economic downturn
- Major e-stores malfunction on Black Friday and Cyber Monday
- IBM wants info from Apple execs in Papermaster case
- How spyware nearly sent a teacher to prison
- Mozilla slates second Firefox 3.0 auto-update this week
SAS Business and Analytics ZoneNo matter where your organization is on the path toward evolving your IT infrastructure, SAS can adapt to your situation to meet your long-term enterprise intelligence needs. We can help you drive intelligence evolution to the next level, while leveraging and extending the value of your existing IT investments. Learn more in the Business and Analytics Zone See All Zones
|
June 2, 2008 (Computerworld) Hewlett-Packard Co.'s business intelligence unit today announced a new release of its Neoview data warehouse that promises to solve one of the most vexing problems of operational business intelligence: balancing a high volume of short queries, like those from customer service representatives focused on a single customer, with larger, analytical jobs such as a comprehensive analysis of company operations.
Neoview 2.3, the second-largest update to the data warehouse since it began shipping in October 2006, adds several features designed to more efficiently handle such mixed workloads, HP said.
Neoview, which integrates data warehousing hardware, software and services, is being used by Wal-Mart and HP itself.
"We view operational BI as a competitive weapon that companies can use to bring better differentiators to themselves in this increasingly commoditized world," noted Vish Mulchand, director of Neoview product marketing. "These kinds of capabilities are crucial to giving customers the insight they are looking for."
The new release, which is now available, includes Adaptive Segmentation technology, which boosts performance by automatically matching the appropriate computing resources to different sizes and types of queries, added Greg Battas, Neoview's chief technologist. While large massively parallel systems have traditionally been very strong at solving the complex queries, they are sometimes hard-pressed to handle a large number of small queries at the same time, he noted.
"Our system now will virtually segment itself up it," Battas said. "It might decide to only use a small slice of the machine for certain queries. We're able to handle much higher concurrency rates by virtually slicing the machine up."
Another new feature, dubbed HP Skewbuster, acts as a sort of traffic cop that prevents bottlenecks — such as one that could arise from skewed data that appears to associate one customer with all customer purchases because customer ID numbers were incorrectly entered.
Neoview 2.3 also allows the database to "ingest" data without it having to be physically loaded into the warehouse, so that companies can be assured that they are analyzing the most up-to-date information when performing tasks like identifying fraudulent transactions in real time.
Finally, new workload management software in this release constantly monitors how busy the system is, how many users are accessing it, how many resources are free and other factors, to ensure that the most pressing queries — such as those associated with an employee speaking to a customer in a call center — are prioritized over other jobs that could perhaps wait a few minutes before starting.
Today's Top Stories
Resource Alerts
Webcasts
Driving BI Value with Data Integration: Overcoming the Thorniest Challenges
Real-time collaboration and development with IBM® Rational® Team Concert streamlines any project
|
![]() |
| White Papers Read up on the latest ideas and technologies from companies that sell hardware, software and services. | ||||||
|




Subscribe to
Computerworld 



Read up on the latest ideas and technologies from companies that sell hardware, software and services.
