Tag Archives: Data Federation

Q&A from Webinar: How to Integrate On-Premise and Cloud MDM Hubs Using Federated MDM Architecture

A few weeks ago I told you about a few webinars that can help you to dig deeper into MDM. One, entitled How to Integrate On-Premise and Cloud MDM Hubs Using Federated MDM Architecture, which took place last month, had over a hundred attendees, and they asked a lot of great questions.

Here, I’ll take an opportunity to answer a few:  

(more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in Master Data Management | Tagged , , , , , , , , | Leave a comment

Simplistic Approaches to Data Federation Solve (Only) Part of the Puzzle – We Need Data Virtualization (Part 2 of 3)

In my last post, I introduced the concept of data federation, which for now I would like to differentiate from data virtualization – a term that I’ll bring into focus in a bit. But first, we explored two issues: data accessibility and data latency. Within recent times, the sophistication of data accessibility services has matured greatly, to the point where one can somewhat abstract those accessibility services from the downstream consumer (or “reuser”) of data. (more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in SOA, Ultra Messaging | Tagged , , | Leave a comment

Fundamental Challenges in Data Reusability and Repurposing (Part 1 of 3)

Apparently, everyone’s favorites words these days are “big data.” But just because some new tools and techniques promise the potential of absorbing and analyzing huge amounts of data from a variety of sources, it does not mean that installing Hadoop in your enterprise is going to automatically help you to get new insights from existing and “big data,” faster. (more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in Big Data, Data Services, SOA | Tagged , | 2 Comments

ANNOUNCING! The 2012 Data Virtualization Architect-to-Architect & Business Value Program

Today, agility and timely visibility are critical to the business. No wonder CIO.com, states that business intelligence (BI) will be the top technology priority for CIOs in 2012. However, is your data architecture agile enough to handle these exacting demands?

In his blog Top 10 Business Intelligence Predictions For 2012, Boris Evelson of Forrester Research, Inc., states that traditional BI approaches often fall short for the two following reasons (among many others):

  • BI hasn’t fully empowered information workers, who still largely depend on IT
  • BI platforms, tools and applications aren’t agile enough (more…)
FacebookTwitterLinkedInEmailPrintShare
Posted in Big Data, Business/IT Collaboration, CIO, Customer Acquisition & Retention, Customers, Data Integration, Data Integration Platform, Data masking, Data Privacy, Data Quality, Data Services, Data Transformation, Data Warehousing, Governance, Risk and Compliance, Informatica 9.1, Informatica Events, Mainframe, Master Data Management, Mergers and Acquisitions, Operational Efficiency, Profiling, Real-Time, SOA, Vertical | Tagged , , , , , , , , , , , , | Leave a comment

What it Takes to Be a Leader in Data Virtualization!

If you haven’t already, I think you should read The Forrester Wave™: Data Virtualization, Q1 2012. For several reasons – one, to truly understand the space, and two, to understand the critical capabilities required to be a solution that solves real data integration problems.

At the very outset, let’s clearly define Data Virtualization. Simply put, Data Virtualization is foundational to Data Integration. It enables fast and direct access to the critical data and reports that the business needs and trusts. It is not to be confused with simple, traditional Data Federation. Instead, think of it as a superset which must complement existing data architectures to support BI agility, MDM and SOA. (more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in Data Integration Platform, Data masking, Data Quality, Data Services, Data Transformation, Data Warehousing, Enterprise Data Management, Financial Services, Governance, Risk and Compliance, Healthcare, Informatica 9.1, Integration Competency Centers, Mainframe, Master Data Management, Mergers and Acquisitions, News & Announcements, Operational Efficiency, Pervasive Data Quality, Profiling, Public Sector, Real-Time, SOA, Telecommunications, Vertical | Tagged , , , , , , , , , , | Leave a comment

Next-Generation Data Virtualization Series Part 2 – Characteristics

So, where have I been since my last blog? Well, I have been working on our new Architect to Architect webinar series on data virtualization, which is very exciting for me as I get to rub shoulders (virtually speaking) with hundreds of industry architects.

The interactive nature and record attendance at these webinars have made one thing very clear – data virtualization is indeed top of mind. In my last blog we discussed the concept and how data virtualization is different or a superset of traditional data federation, especially as it overcomes many limitations of the latter. Wayne Eckerson did a great job at tracking the evolution of data federation in a recent webinar and blog. (more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in Data Integration Platform, Data Services, Data Warehousing, Enterprise Data Management, Integration Competency Centers, Real-Time, SOA | Tagged , , , , , , , , , , , | 1 Comment

Data Virtualization Series Part 1 – What is it?

We have all heard of data federation and of late we have also been hearing how simple, traditional data federation often gets passed off as data virtualization. Let’s get back to basics and take a hard look at what the real need is.

Data federation is not a new concept. When it first arrived on the scene many years ago, technologists got excited as it offered a way to quickly access numerous disparate data sources without physically moving data. Years passed and the term kept appearing in research paper after research paper – but what did not happen was the anticipated widespread adoption. TDWI’s Wayne Eckerson does a great job at tracking the evolution of data federation in his recent webinar and blog. Simple, traditional data federation does one thing and only one thing well – it creates a virtual view across heterogeneous data sources, delivering data in real-time, typically to reporting tools and composite applications. In its very simplicity lay its downfall.

(more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in Business Impact / Benefits, Data Integration, Data Integration Platform, Data Quality, Data Services, Data Warehousing, Enterprise Data Management, Integration Competency Centers, Real-Time, SOA, Vertical | Tagged , , , , , , | Leave a comment

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…

(more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in Business Impact / Benefits, Data Integration, Data Integration Platform, Data Services, Data Warehousing, Governance, Risk and Compliance, Healthcare, Operational Efficiency, Real-Time, SOA | Tagged , , , , , , | Leave a comment

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?

(more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in Business/IT Collaboration, Data Integration Platform, Data Services, Data Warehousing, Enterprise Data Management, Governance, Risk and Compliance, Integration Competency Centers, Master Data Management, Mergers and Acquisitions, Operational Efficiency, Real-Time, SOA, Vertical | Tagged , , , , , | 1 Comment

Revive Enterprise Architecture With Transformational SOA Data Integration

Informatica 9

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?

(more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in Data Services, Real-Time, SOA | Tagged , , , , , , , , | 1 Comment