A few weeks back I wrote about the The 6 dimensions of big data quality. These are: Coverage – how well does the data source meet (or fail to meet) the business need? Continuity – How well does the data set cover all expected or needed intervals? Triangulation – How consistent is data when measured form…
The results of Syncsort’s 2018 Big Data Trends survey have been releases and can be accessed as a ebook by following the link. One clear result of the survey, which engaged several hundred IT professionals over multiple industries is that what was unfamiliar technology four years ago is now becoming an integral part of the…
Historically, data quality has been measured in terms of dimensions including: Accuracy – the degree to which data reflects the real world Completeness – data that is adequately populated Timeliness – That data is available when expected and needed Consistency – that data across all systems reflects the same reality Conformity – that data has…
This week features the final section of a three part interview on @SAfmradio late last month. In part one we looked at the difference between data and big data, about emerging trends impacting big data, and about the data siloes present in large organisation create barriers to really taking advantage of big data In part…
Two weje’s back, I posted part one of a three part interview with Safm on the link between big data, social media and fake news This week the interview continues: We talk about the three V’s and why volume is not the key attribute of big data, we talk about the some of the opportunities…
Late last week i received I request for an interview from @SAFM on the topic of big data, fake news and social media. This was in response to the article Social media – the link between Big Data, fake news and defining your own narrative, which came out earlier this month. In part one of the…
A data error on the Nasdeq exchange caused chaos last week Monday, as the introduction of test data into the live systems vastly impacted the shares prices of a number of tech companies. Two notable examples: Amazon prices crashed by 87%, while Zynga bounced up by an amazing 3,292% In this case, the error can…
