Remove 2017 Remove Data Quality Remove Metadata
article thumbnail

SHACL-ing the Data Quality Dragon III: A Good Artisan Knows Their Tools

Ontotext

Work on it began in 2015 and achieved W3C Recommendation status in mid-2017. While these provide no instructions to a SHACL engine, the use of non-validating characteristics such as sh:name and sh:description can add metadata to your shapes that make them easier to maintain as they scale up. As far as standards go, SHACL is young.

article thumbnail

10 Years Later: Who’s the GOAT of Data Catalogs?

Alation

May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report. January 2017: MercadoLibre signs on as the first LATAM customer. June 2017: Dresner Advisory Services names Alation the #1 data catalog in its inaugural Data Catalog End-User Market Study.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

It’s believed the source of the breach was Marriott’s Starwood subsidiary and Marriott might not have done due diligence when merging its newly acquired subsidiary’s data into its own databases. In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. From Bad to Worse.

article thumbnail

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Sanjeev Mohan

I spent the majority of my time helping clients decide which was the right Hadoop platform and which NoSQL / nonrelational data store to pick for specific use cases. Fast forward to early 2017. Then in the middle of 2017, a realization set in that we were one year away from GDPR and needed to focus on data governance.

article thumbnail

What Is Alation Connected Sheets? Q&A with the Creators

Alation

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. And it’s very difficult to manage these silos of data analysis.

article thumbnail

The Antidote is Facts – Facts Require Data

TDAN

Back in 2017, I wrote an article titled There are No Facts … Without Data. It is time to revisit that topic. The overwhelmingly positive response to that article validated for me that most people believed my premise to be true. I was very thankful to see that. In this anti-fact world (watch cable news […].

article thumbnail

How Volkswagen Autoeuropa built a data mesh to accelerate digital transformation using Amazon DataZone

AWS Big Data

In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation. Data quality issues – Because the data was processed redundantly and shared multiple times, there was no guarantee of or control over the quality of the data.