2002 — May
The Power of HANA and Hadoop: A Q&A with John Schitka of SAP [Published: 10-01-2014]
SAP Article: The benefits of the combination of SAP HANA and Hadoop are explained by John Schitka in this interview with Ron Powell, independent analyst/consultant.
In-Memory Technology Accelerates Data Warehousing: A Q&A with Paul Moran of SAP [Published: 09-26-2014]
SAP article: In-memory innovation facilitates predictive analytics on big data with speed and agility. Read interview with Paul Moran, conducted by Ron Powell, independent analyst/consultant.
Accelerating Big Data Analytics with Vector Processing: A Q&A with Peter Boncz of Actian [Published: 09-05-2014]
Peter Boncz, professor at Vrije University in Amsterdam in the Netherlands, talks with Ron Powell, independent consultant/analyst and BeyeNETWORK expert, about how big data analytics can be accelerated with vector processing.
What Vector Processing Means for Analytics [Published: 09-05-2014]
Peter Boncz, professor at Vrije University in Amsterdam in the Netherlands and the chief technical advisor to Actian, us interviewed by Ron Powell, independent analyst/consultant about vector processing and what it means for analytics.
SAP Holds Guinness Record for World's Largest Data Warehouse [Published: 09-05-2014]
SAP Podcast: SAP sets the Guinness World Record with the World’s Largest Data Warehouse, a 12.1 Petabyte HANA environment.
SAP BW – Why Semantic Intelligence Matters: A Q&A with Lothar Henkes of SAP [Published: 09-05-2014]
SAP Article: The benefits of SAP BW on HANA are explained by Lothar Henkes in this interview with Ron Powell, independent analyst/consultant.
Data Streaming Essential for Real-Time Big Data Applications: A Q&A with Neil McGovern of SAP by Ron Powell - BeyeNETWORK [Published: 08-25-2014]
SAP article: Data stream analytics and event series processing bring real-time big data applications to life, adding the dimension of time to big data processing and analysis.
The Guinness World Record for the Largest Data Warehouse: A Q&A with Tom Traubitz of SAP [Published: 08-14-2014]
SAP article: SAP sets the Guinness World Record with the World’s Largest Data Warehouse, a 12.1 Petabyte HANA environment.
Deriving Business Value from Unstructured Nonrepetitive Data [Published: 07-10-2014]
Concluding his series on gaining business value from corporate data, Bill Inmon looks at the different perspectives for viewing unstructured nonrepetitive data.
Civic Education, Elections and Business Intelligence [Published: 06-24-2014]
A large portion of American electorate is not actively participating in the election process in our country. Ramon Barquin urges all of us to get involved in a voter education project as we approach the midterm elections.
Characteristics of Corporate Data Types [Published: 06-05-2014]
Bill Inmon discusses the ways to derive value from different types of corporate data.
Self-Service Analytics Environment for Next-Generation Insights Delivery [Published: 05-30-2014]
This article from Rathin Das explains why data scientists, who are highly data savvy, need self-service analytics environments rather than BI solutions to perform predictive analytics in a flexible, effective manner.
Bitcoin: Money and Government in the Virtual World [Published: 05-20-2014]
Bitcoin, a virtual currency, is currently not issued, controlled or regulated by any government. Ramon Barquin says that may be changing as virtual currencies gain popularity.
Want Social ROI? Time to Design a Virtual Social Loyalty Program [Published: 05-07-2014]
With more and more people participating in social networks, they can be effective marketing differentiators if carefully planned and executed.
Business Relevancy of Corporate Data [Published: 05-01-2014]
Finding business value in corporate data requires an understanding of the different types of corporate data and their business relevancy. Bill Inmon tells us why.
Big Data and Data Modeling with ERwin [Published: 04-28-2014]
Ron Powell,independent consultant/analyst and BeyeNETWORK expert, talks with Neil Buchwalter about ERwin's latest release, particularly the metadata exchange bridges that go out to big data sources, which are primarily managed in Apache Hadoop Hive and Google BigQuery, and bring that information into ERwin.
Data Modeling in the Big Data Age: A Q&A with Neil Buchwalter of ERwin [Published: 04-24-2014]
Neil Buchwalter, senior principal product manager for ERwin, talks with Ron Powell, independent consultant/analyst and BeyeNETWORK expert, about data modeling and big data.
Extracting Business Intelligence from Social Media [Published: 04-22-2014]
Ashley Cruz and Ramon Barquin advise that creativity and innovation must be employed in order to obtain business intelligence from social media, particularly in countries that censor Internet data.
Analytics: Detect the Expected – Discover the Unexpected [Published: 04-04-2014]
Traditional business intelligence typically delivers answers to a set of known questions while data discovery and visual analytics focuses on drawing inferences and conclusions from data.
Classification of Corporate Data [Published: 04-03-2014]
Bill Inmon explains why it is critical to understand the types of data within a corporation in order to gain value from that data through analysis.