Data quality and cloud computing: What are the risks?
- by 7wData
If I have one gripe about technology today, it's the seemingly universal belief that manifests social and business issues for the first time. Sure, Twitter may be a relatively new advent and only recently have people been fired for tweeting really inappropriate jokes. Still, if you think that losing your job for publicly saying something objectionable is new, think again.
And the same holds true with respect to data quality. Yes, contemporary cloud computing arrived fairly recently, although its roots in grid computing go back decades. Make no mistake, though: the notion that duplicate, erroneous, invalid and incomplete information harms a business is hardly new. It predates today's rampant technology, big data and even the modern-day computer. Bum handwritten general-ledger entries caused problems centuries ago.
This begs the question: What are the data quality risks specific to cloud computing? In a nutshell, I see three.
In the traditional on-premise world, data is often integrated and stored through a very controlled series of periodic ETL batch jobs. For the most part, that data is internal to the enterprise, although exceptions certainly exist such as interfaces to banks, insurance carriers and the like. In an era of cloud computing, though, data flows much more frequently and quickly, often via APIs. That data is often external to the enterprise. Examples include feeds from Twitter, LinkedIn, Google Maps, etc.
With much less control over the data, organizations could certainly see "their" data quality take a hit.;
[Social9_Share class=”s9-widget-wrapper”]
Upcoming Events
Strategies for simplifying complex Salesforce data migrations – Free Webinar
27 March 2024
5 PM CET – 6 PM CET
Read MoreCategories
Tags
You Might Be Interested In
Toyota Wants Cars to Predict Heart Attacks
26 Jul, 2017A heart attack or diabetic blackout can have especially deadly consequences for drivers when they cause car crashes. Toyota researchers hope …
Five Essential Resources Needed for Big Data Analytics
25 Feb, 2018Big Data services could run the gamut from assessments of data to business strategy to implementation. The services are offered …
Growth Of AI As A Service (AIaaS) Market
8 Apr, 2022Artificial intelligence as a service (AIaaS) refers to the use of pre-trained machine learning algorithms, robotic process automation (RPA) to …
Recent Jobs
Do You Want to Share Your Story?
Bring your insights on Data, Visualization, Innovation or Business Agility to our community. Let them learn from your experience.