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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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Navigating the Data Mesh Paradigm: Opportunities, Challenges, and the Path Forward

Data Virtualization

Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

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Navigating the Data Mesh Paradigm: Opportunities, Challenges, and the Path Forward

Data Virtualization

Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

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Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Ontotext

In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world. In the healthcare industry, data integration is of paramount importance. Read more at: [link].

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

In this article, we are going to look at how software development can leverage on Big Data. We will also briefly have a sneak preview of the connection between AI and Big Data. Unstructured data lacks a specific format or structure. Semi-structured. Data Integration.

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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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Throwing Your Data Into the Ocean

Ontotext

According to this article , it costs $54,500 for every kilogram you want into space. A knowledge graph can be used as a database because it structures data that can be queried such as through a query language like SPARQL. It’s only been very recently that humans figured out how to go that fast.