Tag Archives: schemas

More On The Value Of SOA Data Services

Data services, data services, data services.  Do I sound like a broken record?  Forgive me if I seem obsessed with the topic, but I truly believe that technology can change your enterprise, and allow IT to finally get a handle on data in the shortest amount of time.

The real value lies in SOA data services.  These services allow enterprises to place an easy-to-configure layer between the source physical databases and those that wish to consume the data, either applications or humans.  If this seems simple, why, you are right! It is.  Why is it so simple?  It’s because the complexity is hidden from you, including the access mechanisms to the physical data, the transformation of schemas from physical to abstract, and even the management of data quality and integrity.

So where is the value?  There are three core points to consider here: (more…)

Posted in Data Services, SOA | Tagged , , | Leave a comment

Rethinking Data Virtualization

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…)

Posted in Data Integration, SOA | Tagged , , , , , , , | 4 Comments

The Achilles Heel Of Cloud Computing – Data Integration

Loraine Lawson did a great job covering the topic of the integration challenges around the cloud and virtualization. She reports that “…a recent Internet Evolution column [by David Vellante] looks more broadly at the cloud integration question and concludes that insufficient integration is holding up both cloud computing and virtualization.”

In fact, what currently limits the number of cloud deployments is the lack of a clear understanding of data integration in the context of cloud computing. This is a rather easy problem to solve, but it’s often an afterthought.

The core issue is that cloud computing providers, other than Salesforce.com, don’t consider integration. Perhaps they are thinking, “If you use our cloud, then there is no reason to sync your data back to your enterprise. After all, we’re the final destination for your enterprise data, right?” Wrong. (more…)

Posted in Cloud Computing, Customers, Data Integration, Data Warehousing, Master Data Management | Tagged , , , , , , | 12 Comments

Making The Case For Staging And Cloud Computing Integration

Darren Cunningham, in his recent blog post How to Migrate To The Cloud, made some great points around the use of staging for data integration for cloud computing. The reasons he would leverage a staging area for cloud computing include:

  • It enables better business control before the data is pushed from one system to the other.
  • It enables tracking and reconciliation of a business process.
  • It enables the addition of new sources or targets with reuse instead of building the spaghetti plate of point to point direct interfaces. It responds to the SOA paradigm.
  • It breaks the dependencies between the two systems enabling asynchronous synchronization or synchronous with different size of data set (single message or bulk). (more…)
Posted in Cloud Computing, Data Integration Platform, SaaS, SOA | Tagged , , | 10 Comments