Remove Data Processing Remove Publishing Remove Reporting Remove Unstructured Data
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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. Two popular options for reporting platforms are SQL Server Reporting Services (SSRS) and Microsoft Power BI. It is an intensified tool compared to other crystal reports.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. Two popular options for reporting platforms are SQL Server Reporting Services (SSRS) and Microsoft Power BI. It is an intensified tool compared to other crystal reports.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. Two popular options for reporting platforms are SQL Server Reporting Services (SSRS) and Microsoft Power BI. It is an intensified tool compared to other crystal reports.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats. You can run them in the order you want.

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Ontotext Invents the Universe So You Don’t Need To

Ontotext

Ontotext is also on the list of vendors supporting knowledge graph capabilities in their “2021 Planning Guide for Data Analytics and Artificial Intelligence” report. From packaging and deployment to monitoring tools and report generations, the Platform has everything an enterprise needs. Developer-Friendly Semantic Technology.

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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.

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

CIO Business Intelligence

How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure. Evaluate data across the full lifecycle.