Tag Archives: Data Services
All That Data, So Little Time – Can Data Virtualization Help Comply With Dodds-Frank?
Specific deadlines related to Dodds-Frank are coming due and banking organizations are scrambling to find ways to satisfy the increasing demand for more transparency and access to the right data to satisfy certain aspects of the law. Here are a few examples:
Within 12 Months:
- Derivative clearing and swap dealer regulation
- Compliance with the new Office of Financial Research (OFR)
Within the first 18 months:
- Volker rule goes into effect
- Liabilities cap on large financial firms
- Heightened standards / minimum leverage and risk-based capital requirements
- Remittance error resolution standards
Within 24 months:
- Proposed simplified mortgage disclosures
- Contingent capital report and rule-making (more…)
The “Business” Needs Critical Data “Now” – We Need The Next Generation Data Federation Technology “Yesterday!”
There is a lot of talk about using data federation, Enterprise Information Integration (EII) or data virtualization to deliver new data to the business, on-demand. However, do existing approaches cut it?
I have been following the data integration space for many years now, and like many of you, I have wondered about the viability of data federation as a data integration approach. Not because it does not hold promise – it does – it has many advantages as a fast, flexible and low cost approach to integrate multiple and diverse data sources in real-time, without the need for physical data movement.
However, according to the numerous architects that I have had the pleasure of meeting with on the Informatica 9 World Tour, simple or traditional data federation has not been able to live up to its immense promise. And why is that I asked – the reasons were many…
Why is the New SOA Data Integration Architecture Group on a Roll?
Because there is real need! Period! Even after investing heavily in agile architecture approaches such as SOA, IT organizations are finding it extremely challenging to solve complex data integration issues.
If you are involved in defining or re-defining a data architecture to enable composite applications and portals to effectively leverage data in an SOA, here is where the discussions are happening.
If you are looking to enhance your existing data architecture to ensure that business intelligence reports can quickly leverage data that is not in your data warehouse, you will find your answers here.
Calling All Architects – Get Engaged in THE Most Important Discussion on Data Services and Data Integration
Do you believe that a solid and well thought through data architecture for efficiently accessing, integrating and processing data is foundational to maximizing business value? Do you want to hear from your peers in the industry, about how they are solving data integration challenges such as speeding-up time to delivery of data, data quality and infrastructure complexity?
If yes, would you like to join the discussion on a data architecture that can help composite applications and portals to efficiently leverage timely, trustworthy and relevant data in an SOA? Or, an architecture that can complement existing data architecture to ensure that business intelligence reports can quickly leverage data that is not in the data warehouse?
Rethink Data Virtualization – Get All the Data You Need And Trust NOW!
Businesses have seen great success in using virtualization to gain greater efficiencies from their hardware and network resources. Now, the concept of virtualization has been extended to the data layer.
The bottom line is about providing a logical abstraction of all underlying data, so that it appears as one data source to consuming applications.
However, given that your data is often distributed, heterogeneous, and often error-ridden, it’s not enough to simply federate it and pass this off as data virtualization. The data you deliver to your end users must be data they can trust, however, traditional data federation approaches seem to ignore this fact. They simply propagate inconsistent and inaccurate data, quickly. So where is the gap?
Revive Enterprise Architecture With Transformational SOA Data Integration
On November 10, Informatica made history with the launch of Informatica 9. In my mind, being a SOA enthusiast, another equally significant event transpired – the birth of SOA-based Data Services – transformational SOA data integration that can revive your enterprise architecture.
So, what exactly are SOA-based Data Services and why am I so excited?
Building A Foundation For MDM
Since recently attending the Gartner MDM Summit, reading the latest report on MDM Trends from Forrester, and speaking with several customers, a few trends are starting to emerge:
- There is no one single technology that will help organizations solve all of their MDM challenges
- While some MDM products are supporting multiple domains, they are still either customer-centric or product-centric
- Analytical style of MDM is gaining in importance, and
- The common challenges across all data domains and hub styles are data integration and data quality
How To Get Started with Data-Orientation – What Architects Told Me…
In my previous post To Successfully Service-Orient, Data-Orient First!, I shared the input I received from architects and IT managers, to serve as a handy check-list for ensuring a solid foundation for success in service-oriented infrastructures.
The following are the data-orientation capabilities they recommended as a first step in successfully service-orienting an infrastructure:
- Easy access of all relevant data, including new or rapidly changing data sources
- Seamless processing of data as batch, change data capture or real-time, including handling large volumes of large data sets
- Proactive identification and resolution of data inaccuracies
- Application of complex data transformations on the data
- Delivery of data, exactly when it is needed, as a standards-based data service
To Successfully Service-Orient, Data-Orient First!
I have firmly believed that a day would come when it would be you, my fellow integrators, telling me that one needs to data-orient first before benefiting from service-orientation. That day has indeed come!
Just recently, I created a quick one question survey and sent it off to a number of application and enterprise architects as well as IT managers at leading enterprises. The question was:
- What are the top three things on your mind as you architect or re-architect your infrastructures?
There was a common thread across the responses that I received:
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Service-orientation or an architectural approach to increase the speed and agility of how IT responds to a business’ requests,
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Doing more with less or something to that effect, and
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An easy way to leverage all relevant information, when it is needed and how it is needed
When I saw these responses, the pragmatic part of me started to build a list of questions in my head and I decided to call a number of these professionals and get the real scoop on their selections.
Here is what I heard…
What Is SOA? And, If You Are Doing It, Is Your SOA Going To Die Before It Has A Chance To Live?
Before I start on this extremely polarizing topic, I really want to ask the question – do you want your SOA to be ineffective or die before it has a chance to live?
As I mentioned in an earlier blog, SOA does have a significantly big “blind spot,” which so often gets ignored due to the sheer size of the vehicle you are riding in – which I define as – the complexity of your enterprise infrastructure, the various avatars or stakeholders that are directly or indirectly impacted by integration challenges, departmental divides and ownership issues, debates around modernization, and of course, budget, time and resources.
Hopefully you answered the question with an emphatic NO!