Remove 2015 Remove Data Integration Remove Data Quality Remove Interactive
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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. Keep in mind how named graphs interact with your validation: The SHACL shapes graph will validate the union of all graphs. The next step is to link the data graph to the shapes graph: ex:TolkienDragonShape sh:shapesGraph ex:TolkienShapesGraph.

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How Amazon Devices scaled and optimized real-time demand and supply forecasts using serverless analytics

AWS Big Data

AWS Glue for ETL To meet customer demand while supporting the scale of new businesses’ data sources, it was critical for us to have a high degree of agility, scalability, and responsiveness in querying various data sources. Clients access this data store with an API’s. Vipul Verma is a Sr.Software Engineer at Amazon.com.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud. Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud.