Aggregated enterprise architecture wisdom
There are not many models that have enjoyed such a long life and wide acceptance as the Knowledge Pyramid. Also known as the DIKW pyramid, it features data as the basis and shows how information is built on it, then knowledge, and finally wisdom. Each layer refers to the lower one, using it but adding […]
The recent Northern Virginia Technology Council (NVTC) Healthcare
Informatics & Analytics Conference, at the Inova Center for
Personalized Health, was a huge success. Oracle’s own David Dworzczyk
(Ph.D.) – representing the Oracle Health Sciences
business, generated enthusiasm and interest in how big data and
analytics focus is becoming embedded as part of the entire health
sciences ecosystem, from pharma trials and policy, to healthcare
delivery and genomics research.
Enterprise Architecture and Security Taking a quick break from our…
Big Data, Analytics & Data Science are taking off as regional economic development catalysts – and outcomes – around the world, and particularly so here (DC/MD/Northern Virginia) in what some call the “Big Data Capital” of the US (given the proximity and engagement of so many commercial, federal/state government, nonprofit and startup organizations in this field). Here are a couple of examples, of activities going on in the area.
You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.
It begins with a seemingly innocent set of questions:
“Is there a better way to master my data?”
“Is there a better way to understand the data I have?”
“Is there a better way to bring data and content together?”
“Is there a better way to personalize data and insight to be relevant?”
Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.
You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.
It begins with a seemingly innocent set of questions:
“Is there a better way to master my data?”
“Is there a better way to understand the data I have?”
“Is there a better way to bring data and content together?”
“Is there a better way to personalize data and insight to be relevant?”
Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.
Momentum and activity regarding the Data Act is gathering steam, and off to a great start. Reaching the 2017/2018 milestones, however, will require IT infrastructure change.
Some change may be simple or take advantage of existing modernization
efforts; much change will be very difficult, complex and/or costly.
Strategies to prepare for this change, and catalyze it, are not yet part
of the government-led discussion – but they are now part of the
industry-led discussion, per this new Executive Report from ACT-IAC, co-authored by Oracle: “The DATA Act – IT Infrastructure Guidance Change Facilitation for IT Departments”.
A Solution Architect needs to have a clear understanding of a client’s data architecture. Most – if not all – of the projects to which I’ve been assigned have had the movement of data as a key part of the solution. When it comes to data, operating from a “project-only silo” mindset is a recipe […]
Current dialogue among the leadership and constituents of the Federal, Washington
DC, Maryland and Virginia (DMV) regional “Open Data” government
community have shed new light on the challenges and opportunities that
individual jurisdictions face (not just around DC), in establishing Open
Data capabilities and services – both public-facing, and as part of the
inward-facing “information sharing” context within their own agencies.
Open Data is also a very different conversation, when held at a purely
local level, vs. statewide or across an entire metropolitan region.
Recent government policies and public demand for open data is rapidly exposing both opportunities and challenges within government information-sharing environments, behind the firewall – in turn a fantastic opportunity and challenge for the Enterprise Architects and Data Management organizations.
This was the key message that came out of The Open Group® Big Data Security Tweet Jam on Jan 22 at 9:00 a.m. PT, which addressed several key questions centered on Big Data and security. Here is my summary of the observations made in the context of these questions. Continue reading →
The Open Group hosted a tweet jam (#ogChat) to discuss Big Data security. In case you missed the conversation, here is a recap of the event. Continue reading →