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Using Text Mining on Reviews Data to Generate Business Insights!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Textual data from social media posts, customer feedback, and reviews are valuable resources for any business. There is a host of useful information in such unstructured data that we can discover.

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Reflections on the Knowledge Graph Conference 2023

Ontotext

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

It provides a host of security features. Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information. Clone your report server database hosting your reports. Back up the encryption key.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

It provides a host of security features. Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information. Clone your report server database hosting your reports. Back up the encryption key.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

It provides a host of security features. Microsoft Power BI is a business analytics tool, which is a collection of apps, connectors, and software services that work together to turn unrelated sources of data into coherent information. Clone your report server database hosting your reports. Back up the encryption key.

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

Ontotext

The pathway forward doesn’t require ripping everything out but building a semantic “graph” layer across data to connect the dots and restore context. However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight.

IT 69
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Access Amazon Athena in your applications using the WebSocket API

AWS Big Data

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products. Install NPM.