Smartbi from the report development of data preparation, style design, data calculation, data visualization, interactive logic, *** enjoy the release of the six major steps are featured on the function, make full use of the existing capabilities of Excel, known as the enterprise reporting platform solution experts. In particular, the integration of Excel and ECharts makes Smartbi a rich presentation, powerful interactivity (cell- and object-based data modeling), super-flexible layout capabilities, and all of these can be done in the Excel interface.
Clustering: Improve system performance and reliability
High Consistency: All configurations and files made through the Smartbi product can be readily synchronized to each node in the cluster.
High Availability: All standalone functions are supported. After a single node goes down, the system can still be accessed normally.
Strong scalability: Based on good architectural design, the concurrency supported by the system grows almost linearly with the increase of nodes, and the load of each node is more balanced.
Easy to use: The cluster environment can be quickly configured through simple operations in the platform, where nodes can be added or removed to support hot deployment. In addition, you can monitor the operation and logs of each node in the platform.
Guangzhou Smartsoft Limited (Smartbi) was founded in 2011, is committed to providing enterprise customers with one-stop business intelligence solutions to enhance and explore the value of enterprise customers' data for the mission, focusing on business intelligence (BI) and big data analytics software products and services.
Reporting software is not reliable, to try Smartbi, Sematic Software Smartbi after years of continuous independent research and development, cohesion of a large number of business intelligence best practices, the integration of data analysis in various industries and decision-making support functional requirements. To meet the end-users in the enterprise-level reporting, data visualization and analysis, self-service exploration and analysis, data mining and modeling, AI intelligent analysis and other big data analysis needs.
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