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A Brief History of Data Visualization

Jet Global

Editors note: This blog was originally published in October 2013, and has been completely revamped and updated for accuracy, relevancy, and comprehensiveness in September 2019 Prior to the 17th century, data visualization existed mainly in the realm of maps, displaying land markers, cities, roads, and resources.

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From Disparate Data to Visualized Knowledge Part III: The Outsider Perspective

Ontotext

In 2013, actually, with SPARQL 1.1. Visualization tools and data access. This is why, when we move towards the business side, often some kind of visualization is required. GraphDB is not primarily a data visualization tool. That does not mean that it cannot visualize data. Visualization with SPARQLWrapper.

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Six keys to achieving advanced container monitoring

IBM Big Data Hub

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Monitoring dashboards provide automatic observability into every container, the full technology stack running inside it and the apps running on top of it.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

In 2013, less than 0.5% We gave you a curated list of our top 15 data analytics books , top 18 data visualization books , top 16 SQL books – and, as promised, we’re going to tell you all about the world’s best books on data science. Why You Need To Read Data Science Books. of all available data was analyzed, used, and understood.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Five years ago they may have. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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FanRuan Recognized Again With Honorable Mention in the 2022 Gartner Magic Quadrant for ABI Platforms

FineReport

FineBI , a self-service data analysis tool first launched in 2013, perfectly removes the data barriers existing among departments in enterprises. version is equipped with a high-performance Spider engine, capable of processing hundreds of millions of data within several seconds, making the operation fast, simple, and visualized.

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Delivering More Impactful Insights From Your Cloud Data

Sisense

Data volumes have grown exponentially, not just in volume but in different systems, making it difficult to visualize whole data insights. This visibility is critical to VHA to keep track of every piece of equipment and to dashboard all its equipment use to the Whitehouse in the US to analyze and track usage of health supplies.