Remove Data Processing Remove Publishing Remove Unstructured Data Remove Visualization
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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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Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

AWS Big Data

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight.

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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. It is widely used for modeling and structuring of unshaped data. Native Mode.

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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. It is widely used for modeling and structuring of unshaped data. Native Mode.

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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. It is widely used for modeling and structuring of unshaped data. Native Mode.

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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. execute-api.

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The new challenges of scale: What it takes to go from PB to EB data scale

CIO Business Intelligence

Admittedly, it’s still pretty difficult to visualize this difference. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? However, with the Cloudera Image Warehouse (CIW), it has become possible to sort and analyze large volumes of unstructured data.