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From Blob Storage to SQL Database Using Azure Data Factory

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. In this article, I’ll show […].

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AI-powered Solutions to Personalized Healthcare Using Knowledge Graphs: An Interview with Remzi Celebi

Ontotext

AIDAVA (short for AI-powered Data Curation & Publishing Virtual Assistant) is a Horizon Europe project, which brings together 14 partners from 9 EU countries. The best way to do that is to follow the FAIR principles, which are a set of guidelines on how to publish and share data with other people and systems.

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How to Build Knowledge Graphs for Enterprise Applications with Two Industry Leaders

Ontotext

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. The customer and employee experience when using an application is key for companies to have a real impact on their processes and results.

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How to Take Back 40-60% of Your IT Spend by Fixing Your Data

Ontotext

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. In spite of all the activity, the data paradigm hasn’t evolved much.

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You Cannot Get to the Moon on a Bike!

Ontotext

And each of these gains requires data integration across business lines and divisions. Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. We call this the Bad Data Tax.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

For those of you who did not attend the summit, we have cited Gartner research as the sessions predominantly reflected the most recent Gartner published papers. 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.

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

Ontotext

The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers. We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery.