Blog: Ron Powell Subscribe to this blog's RSS feed!

Ron Powell

Thanks for visiting my blog. As co-founder of the BeyeNETWORK, acquired by TechTarget in 2010, I am privileged to participate in many industry-related activities as a BeyeNETWORK expert covering business intelligence and analytics. These events provide me with a unique insider perspective into the business intelligence ecosystem, its products and the vendors that provide those products. I'll be sharing that invaluable information with you through this blog, which will also be a reflection my business philosophy. And, just to make this interesting, I'll be sure to include my personal point of view on a wide range of topics and share some of the stories of people I meet in my travels.

About the author >

Ron is an independent analyst, consultant and editorial expert with extensive knowledge and experience in business intelligence, big data, analytics and data warehousing. Currently president of Powell Interactive Media, which specializes in consulting and podcast services, he is also Executive Producer of The World Transformed Fast Forward Show. In 2004, Ron founded the BeyeNETWORK, which was acquired by Tech Target in 2010.  Prior to the founding of the BeyeNETWORK, Ron was cofounder, publisher and editorial director of DM Review (now Information Management). He maintains an expert channel and blog on the BeyeNETWORK and may be contacted by email at rpowell@powellinteractivemedia.com. 

More articles and Ron's blog can be found in his BeyeNETWORK expert channel. Be sure to visit today!

Recently in Big Data Category

We are seeing a major sea change in how enterprises are harnessing big data through machine intelligence and deep learning. Graphical processing units (GPUs) excel at workloads that require large amounts of mathematical calculations, simulations, streaming data and machine learning. This has resulted in a paradigm shift, enabling a whole new range of applications for autonomous vehicles, Industrial Internet of Things (IIOT) and advanced analytics.

I recently interviewed Amit Vij, CEO of Kinetica, whose company has pioneered a database that uses general purpose graphical processing units that is run SIMD operations in a highly parallel fashion. Its GPU-accelerated analytics database provides real-time insights into large and streaming datasets.

Kinetica was incubated within the U. S. Army Intelligence Command and the NSA.
It started as a geospatial and temporal computational engine and slowly evolved to a highly available and distributed in memory database that is accelerated by GPUs.

Kinetica can scale to meet the needs of very computational intensive applications such as risk mitigation and fraud detection in the financial industry. Their technology can displace current technologies that utilize scale-up hardware as Kinetica leverages scale-out architectures.

According to Amit, a major value proposition is converging machine learning and deep learning into a database running in-database analytics, registering, for example, a Google TensorFlow library to Kinetica, running a machine learning model on a data table that has over one billion rows, and then persisting out a new data table. "We're seeing that as an easy workflow for an organization to use," said Amit.

GPUs are accelerating the use of analytics across a broad range of use cases and having a profound impact across a wide variety of industries. Organizations that are trying to achieve real-time analytics with large and streaming datasets should check out Kinetica.

To read my full interview with Amit Vij, click here.

Posted June 20, 2017 7:49 AM
Permalink | No Comments |
I recently conducted a podcast with Peter Boncz, Professor at Vrije University in Amsterdam in the Netherlands. Peter is considered to be the father of MonetDB and vector database processing. The podcast focuses on vector processing and what it means for analytics. We also cover why vector processing is different from other database approaches, current benchmarks, application use cases and what customers are doing to benefit from vector processing. Click here to listen to this podcast now or read it here

Posted September 5, 2014 3:00 PM
Permalink | No Comments |
Teradata continues to strengthen their Big Data IP assets with the acquisition of Think Big Analytics. With such a shortage of Hadoop talent and expertise, the need to acquire consulting expertise and training is critical for organizations like Teradata to extend their leadership in Big Data. Four major reasons for the acquisition cited by Randy Lea, VP, Teradata Aster Data Center of Excellence - their expertise, proven delivery model, IP assets and solution frameworks. Think Big has an onshore delivery model with a solution center based in Salt Lake City. They also have the Think Big Academy that helps to educate and develop experts in Big Data and Hadoop, The full press release of the announcement can be accessed here.

Posted September 3, 2014 8:06 AM
Permalink | No Comments |
The ability to gain insight and visibility from your storage assets will revolutionize the storage market. DataGravity has just introduced the DataGravity Discovery Series, which redefines storage by providing storage visualization, file analysis, information discovery, activity tracking and data security. I believe that data-aware storage will provide a quantum shift in the way enterprises utilize their stored data assets and ultimately lead to a significant competitive advantage. 

Posted August 25, 2014 3:00 PM
Permalink | No Comments |
I recently interviewed Michael Howard of C9 and we discussed how C9 is solving one of the most difficult problems facing large organizations today, which is in predicting revenue. By integrating both operational and big data sources within an application, most CFOs and financial organizations can more accurately predict future revenue numbers and mitigate earnings surprises that hamper many private and public companies today. The application is currently being utilized by some of the biggest companies today for predictive analytics - they include Google, Pandora and LinkedIn. Click here to listen to this podcast now or read it here.

Posted January 8, 2014 10:00 AM
Permalink | No Comments |
PREV 1 2 3

Search this blog
Categories ›
Archives ›
Recent Entries ›