Remove 2000 Remove Data Quality Remove Reporting
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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

Today, we are pleased to announce that Amazon DataZone is now able to present data quality information for data assets. Other organizations monitor the quality of their data through third-party solutions. Additionally, Amazon DataZone now offers APIs for importing data quality scores from external systems.

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Sustainability: Real progress but also thorny challenges ahead

CIO Business Intelligence

Here are some of the challenges left to resolve in the area of environmental sustainability: Collecting, sharing, and reporting on environmental data: For many organizations, identifying and collecting sustainability data across operations is still a challenge. The key is good data quality.

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A comparative assessment of digital transformation in Italy

CIO Business Intelligence

The data platform and digital twin AMA is among many organizations building momentum in their digitization. The company has been a public utility since 2000, with the City of Rome as its sole shareholder. AMA employs about 7,600, serves a catchment area of nearly 2.5 million tons of waste annually.

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From Disparate Data to Visualized Knowledge Part I: Moving from Spreadsheets to an RDF Database

Ontotext

That way, we can simplify our lives in the future, so when we seek reports for one building (say Building123), we also get information about the “other” building (BuildingABC), which is at the same address. Ensuring data quality with SHACL. Our previous step covers data format differences. SHACL in action.

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Fear has Replaced Apathy as the Number One Enemy of Data

Jim Harris

Background: “Apathy is the enemy of data quality”. I began work on data quality in the late 1980s at the great Bell Laboratories. Indeed, I can’t recall a single person who claimed high-quality data wasn’t important. I especially wanted to identify industries that were ripe for data quality.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

If you’ve used Google, you’ve used the cornucopia of Linked data across the Web, through Google’s Knowledge Graph (Google’s Knowledge Graph is reportedly supported by Freebase – the knowledge acquired by Google in 2010. ) Weaving the Semantic Web with Semantic Annotations and Linked Open Data.

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Ontotext’s Perspective on an Energy Knowledge Graph

Ontotext

In light-blue (P) is the PRODUCTION_UNIT data: Kozloduy is a nuclear power station with two reactors (generation units). It has nominal power (production capacity) of 2000 MW, each unit having 1000 MW. Spotting Data Consistency Issues. 32W001100100217D” represents NPP KOZLODUY, which is a nuclear power plant.