Five data quality lessons from Amazon
@philsimon on what we can learn about data quality from Jeff Bezos's behemoth.
Tag: data quality
Big data, data standards and cross-platform integration
At a recent TDWI conference, I was strolling the exhibition floor when I noticed an interesting phenomenon. A surprising percentage of the exhibiting vendors fell into one of two product categories. One group was selling cloud-based or hosted data warehousing and/or analytics services. The other group was selling data integration products. Of
Data governance is nothing without data quality
When you spend long enough writing and working in any industry, you inevitably see trends emerge and reach varying levels of maturity. Data governance is one such trend, as you can see from the following Google Trends chart:
Top 5 data quality mistakes organizations make
.@philsimon lists the gravest data-quality errors.
Big data quality with continuations
I've been doing some investigation into Apache Spark, and I'm particularly intrigued by the concept of the resilient distributed dataset, or RDD. According to the Apache Spark website, an RDD is “a fault-tolerant collection of elements that can be operated on in parallel.” Two aspects of the RDD are particularly
How big of a deal is big data quality?
Data quality has always been relative and variable, meaning data quality is relative to a particular business use and can vary by user. Data of sufficient quality for one business use may be insufficient for other business uses, and data considered good by one user may be considered bad by others.
Scaling a vision for data quality
I recently presented a webinar (via the IAIDQ) on the topic of 7 Habits of Effective Data Quality Leaders. To prepare, I looked back at the many interviews of leading data quality practitioners I had undertaken over the years. A common trait among all these interviews stood out – they
Who's in charge of data quality?
.@philsimon chimes in on this pivotal question.
Risks to consider when developing a data strategy – Part 2
As I explained in Part 1 of this series, creating a strategy for the data in an organization is not a straightforward task. Two of the most important issues you'll want to address in your data strategy are data quality and big data. Data quality There can be no data that is
The missing link in your data strategy – Part 1
"I skate to where the puck is going to be, not where it has been." - Wayne Gretzky I love this quote from Wayne Gretzky. It sums up how most organizations approach data strategy. Data strategy typically starts with a strategic plan laid down by the board. The CEO will