Enterprise Architecture (EA) is a method and an organizing principle that aligns functional business objectives and strategies with an IT strategy and execution plan. The resources presented here reflect the insight and expertise of members of the Oracle Technology Network community who regularly deal with the challenges of EA in order to bring organizations into the future.
All Data as a Service (DaaS/BDaaS) - Who's Your D-a-a-S Enabler?
Creating or using Data-as-a-Service (DaaS), Big Data-as-a-Service (BDaaS), or any other DaaS initiative, exposed to the public or entirely within your enterprise? Identify your DaaS Enabler(s), advises Ted McLaughlan.
posted Mon, 30 Mar 2015 15:07:46 +0000
5 Emerging Themes for 21st Century Business
The continued innovation and speed of technology, coupled with the rise of millennials, will drive a tipping point in the next 12 to 36 months that will have a material impact to the business of business.
posted Wed, 25 Feb 2015 14:11:49 +0000
Honing a Cloud Transformation Strategy: Part II: The "Why"
This second article in Oracle ACE Director Ron Batra's series offers advice on developing a solid business case and reasonable expectations for a cloud transformation,
posted Wed, 04 Feb 2015 18:15:22 +0000
Honing a Cloud Transformation Strategy : Part I: "Self Awareness" | Ron Batra | LinkedIn
Oracle ACE Director Ron Batra kicks off a series of short articles in which he examines several important considerations in developing a sharply-focused cloud transformation strategy.
posted Wed, 04 Feb 2015 18:10:55 +0000
Trends in Cloud Computing: The Rise of SaaS and PaaS
"I predict that, in 2015 and beyond, PaaS for SaaS will emerge as the de-facto way to extend Oracle Applications in a safe, manageable, and cost-effective way," says Oracle ACE Director Debra Lilley.
posted Thu, 29 Jan 2015 15:43:56 +0000
Trends in Data Management: Unlock the True Value Proposition of Big Data
"The typical reference architecture has shifted significantly over the years," says Oracle ACE Director Ron Batra in this article from Profit Magazine. "Due to the rich variety of data sources...we see systems and architectures that are net-new to the average enterprise—for example, machine learning, data mining, predictive analytics, and big data visualization."
posted Thu, 29 Jan 2015 15:38:26 +0000