Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: SOA Mandates Data Management
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > SOA Mandates Data Management
Business Intelligence

SOA Mandates Data Management

EvanLevy
EvanLevy
3 Min Read
SHARE

By Evan LevyI’ve always said that the focus on SOA is too much on the “A” for “architecture.” The whole idea of SOA is to define application functions and services that need to be accessible to other systems. Prior to SOA, it was always hairy to move data from one system to another. But everyone thinks that SOA is an integration framework. In fact it’s a means of remotely accessing other systems and their related information without having to know the details. For instance, I don’t need to know how my cell phone number was assigned; I just need to…

By Evan Levy

I've always said that the focus on SOA is too much on the "A" for "architecture." The whole idea of SOA is to define application functions and services that need to be accessible to other systems. Prior to SOA, it was always hairy to move data from one system to another.

More Read

Peter Drucker Correctly Predicted Today’s Information Revolution and the Power of Big Data Variety
Web-based, SaaS, and Cloud ERP benefits
A Comprehensive Approach is Required for Data Quality Improvement
It’s pretty much what you’re thinking about right…
The 2009 Rexer Data Mining Survey – A conversation with Karl Rexer

Cellphone-main_Full
 But everyone thinks that SOA is an integration framework. In fact it's a means of remotely accessing other systems and their related information without having to know the details. For instance, I don't need to know how my cell phone number was assigned; I just need to remember that number so I can share it with my friends.

As I've said before, SOA is the evolutionary result of all the middleware companies trying to convince us to buy their hardware-independent products. SOA's ability to business flexibility today is just as remote as the code objects of decade ago promising to make business more nimble. SOA isn't a business term. It's a technical term for technical people to focus on re-use, standard parts, and standardized processes.

Holygrail
Companies turning to SOA are looking for the holy grail. Consider the emergence of the term "SOA governance" to address the conundrum of SOA development planning. The core issue is how to simplify developers' work in building applications without having to understand the technical details and obstacles in between. Just because I have advanced features and functions doesn't mean I don't still have to focus on software development fundamentals. Design reviews, code re-use, and development standards still matter.

The real challenge with implementing any kind of web service, or defining services that can be re-used, is in ensuring that the data they are dependent on is well-defined. Unfortunately there is no such thing as a business process that is data-independent. Until you've standardized your data, which means implementing data management and maintaining data in a sustainable way, you can't have re-usable services. Period.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic
data=driven approach
Turning Dead Zones Into Data-Driven Opportunities In Retail Spaces
Big Data Exclusive Infographic
smarter manufacturing
Connecting the Factory Floor: Efficient Integration for Smarter Manufacturing
Infographic News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

free python machine learning ebooks
Big DataBusiness IntelligenceData ScienceR Programming Language

5 Free Programming and Machine Learning Books for Data Scientists

8 Min Read
gaming artificial intelligence ai
Artificial IntelligenceExclusive

The Undeniable Evolution Of The Gaming Industry In Response To AI

6 Min Read

How SEO is Like Customer Service

11 Min Read

On-Demand (or SaaS) Index: Trade or Trend?

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?