Tag Archives: architect
What would the ideal data architecture of the year 2020 look like?
Informatica want’s to know how YOU would answer that question. For this reason, we’ve created the Informatica Architect’s Challenge, a chance for YOU to share how you would approach enterprise data architecture differently. Send us your proposal and you could win 100 iPad Minis for the school of your choice.
There are a lot of challenges to think about here, but let’s start with these:
- Organizations are requiring dramatically faster delivery of business initiatives and are unhappy with the current performance of IT. Think this is “marketing hyperbole?” See the McKinsey survey.
- Data in most organizations is highly fragmented and scattered across dozens or hundreds of different systems. Simply finding and prepping data is becoming the majority of the work in any IT project.
- The problem is only going to get worse as cloud, 3rd party data, social, mobile, big data, and the Internet of Things dramatically increase the complexity of enterprise data environments.
Data is the one thing that uniquely differentiates your organization from its competitors. The question is: How you are going to architect to deliver the data to fuel your future business success? How will you manage the challenges of increasing complexity while delivering with the speed your organization requires?
It’s a chance make a positive contribution for education, while at the same time gaining some professional visibility for yourself as a thought leader. We can’t wait to see what you’ll create!
For additional details, please visit the Informatica Architect’s Challenge official page.
I’m looking forward to doing a Webinar on data virtualization this Thursday, April 22nd. Why? Because this is the single most beneficial concept of architecture, including SOA, and it’s often overlooked by the rank-and-file developers and architects out there. I’m constantly evangelizing the benefits of data virtualization, including integrating data from many and different data sources in real-time, and enabling query-based applications to get data from multiple systems.
The idea is pretty simple, really. Considering that there are many physical database schemas within most enterprises, and typically no common view of the data, data virtualization allows you to map many physical schemas to virtual schemas that are a better representation of the business. For example, a single view of customer data, sales data, and other data that has the same logical meaning, but may be scattered amongst many different physical database systems, using any number of implementation models. (more…)