PBRS Power BI Reports Distribution
PBRS is a third-party tool that enhances the functionality of Power BI reports by providing advanced features for scheduling, automation, and distribution. With PBRS, you can:
- Schedule Power BI reports to run at specific dates and times, or set up recurring schedules based on custom frequencies. For example, you can schedule a report to run every hour, every other day, or on the third Monday of the month.
- Automate Power BI reports to run based on specific events or conditions. For example, you can trigger a report to run when a database record is changed, when data is received on a port, when an unread email exists in a folder, or if a file exists.
- Distribute Power BI reports in various formats and to multiple destinations. You can specify different filters, formats (such as Excel, PDF, or CSV), destinations (such as email, SharePoint, or network folders), and recipients for each scheduled report. This flexibility enables you to tailor the distribution of reports to meet the specific needs of your organization.
PBRS works seamlessly with various Power BI environments, including Power BI Service (Pro and PPU), Power BI Report Server (On-Premises), Power BI Premium, and all editions of SQL Server Reporting Services
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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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RockWorks
RockWorks is a software program that creates 2D and 3-D maps, logs, cross sections, geological models and volume reports. It also provides general geology diagrams for the petroleum, geotechnical and mining industries. RockWorks is the industry standard for environmental, geotechnical and petroleum mining data visualization. It includes popular tools like maps, logs and cross sections, fence diagrams and solid models, as well as logs and solid models. RockWorks offers numerous options for analyzing your surface and subsurface data, and accepts many different data types, such as stratigraphy, lithology, downhole geochemistry/geophysics / geotechnical measurements, color intervals, fractures, and aquifer data. RockWorks' graphic output can be displayed in the built-in 2D or 3D viewing/editing window. You can also export to CAD and Google Earth and other GIS programs. To create page layouts for posters and reports, use the ReportWorks module.
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RokDoc
RokDoc is the culmination of over 20 years of industry experience and innovative research. RokDoc provides a seamless interface that integrates everything from data quality control and modeling and prediction. It also integrates multidisciplinary workflows for Quantitative Interpretation and Pore Pressure. Assess sandstone, carbonate, and shale reservoirs for improved hydrocarbon exploration and production optimization, CO2 sequestration and geothermal surveying. RokDoc offers a comprehensive and extensive library that includes rock physics, cutting-edge seismic inversion techniques, as well as a complete geomechanics solution. Automated and easy evaluation of geological "what-if" scenarios. To better understand the probability and success of subsurface resource exploitation, and stored fluid monitoring, capture uncertainty in data and models.
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