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ElegantJ BI Version 4.2: Business Intelligence With Real-Time Data Access

ElegantJ BI

The newest version of ElegantJ BI includes: Real-Time Cubes: Users have the freedom to work with real time data or cached data. The cube engine enables connection to disparate data sources such as databases, CSV files and MDX data sources like Microsoft® SSAS and SAP® BW cubes.

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ElegantJ BI Version 4.2: Business Intelligence With Real-Time Data Access

ElegantJ BI

The newest version of ElegantJ BI includes: Real-Time Cubes: Users have the freedom to work with real time data or cached data. The cube engine enables connection to disparate data sources such as databases, CSV files and MDX data sources like Microsoft® SSAS and SAP® BW cubes.

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ElegantJ BI Version 4.2: Business Intelligence With Real-Time Data Access

ElegantJ BI

The newest version of ElegantJ BI includes: Real-Time Cubes: Users have the freedom to work with real time data or cached data. The cube engine enables connection to disparate data sources such as databases, CSV files and MDX data sources like Microsoft® SSAS and SAP® BW cubes.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

AI-powered ETL tools can automate repetitive tasks, optimize performance, and reduce the potential for human error. By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations.

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

Data Pine

Since we live in a digital age, where data discovery and big data simply surpass the traditional storage and manual implementation and manipulation of business information, companies are searching for the best possible solution for handling data. It is evident that the cloud is expanding. It’s completely free!