Real-time big data analysis refers to the analysis of large-scale data, the use of big data technology to quickly complete the analysis efficiently, achieve near real-time effects, and more timely reflect the value and significance of the data. Users can capture data operation status in real time, such as large screens of e-commerce operations, to help users make real-time decisions, and the operation status is clear.
Real-time visualization large screen production_report query response in seconds
The biggest difference between report query second-level response and ordinary application query is that ordinary application query is customized and developed, while the second-level response of report query is customized by the user. You can check what you want, and respond to various data in seconds. Inquiry and analysis request. Smartbi's ad hoc query is that users can flexibly select query conditions according to their own needs, and the system can generate corresponding statistical reports according to users' choices.
Reporting is the basic measure and way of enterprise management, the basic business requirement of the enterprise, and the basis for implementing BI strategy. Reports can help companies access and format data, and present data information to users in a reliable and safe manner. The real-time analysis platform oriented to big data can achieve second-level response to query and analysis for detailed data and summary data of large data volume, helping various report users to solve the problem of slow reporting.
Real-time visualization of large screen production_drag and drop analysis real-time update
The problem of real-time refreshing of data visualization large screens, in fact, many products now can meet the requirements. In order to realize agile drag-and-drop analysis scenarios, the self-exploration experience of business personnel after data loading can achieve a second-level response, improving user operation and analysis experience. Smartbi can not only refresh the data in real time, but also define the refresh interval by itself.
How does Smartbi make a real-time visualization large screen?
First, you need to understand the basic functions of Smartbi, how to connect to data, how to make charts, and how to refresh data in real time.
Smartbi can directly import the data in the database. In this case, it can be set to update the data regularly. The minimum update frequency is days, and the data cannot be updated in real time. Smartbi also supports direct connection to the database. At this time, you can set the real-time update data, and the update frequency is at least 1s. Smartbi is very simple to set up real-time updates. There is no need to write code or complicated operations. You only need to turn on the regular refresh function in the chart properties and set the refresh interval. It is super simple. Make a real-time visualization large screen as shown below:
The production of real-time visualization large screen_expandable, SQL-compliant time series database
Nowadays, most of the data is time series data. Whether you are viewing IoT data, financial service data or data from IT infrastructure, data may be created regularly. The real-time analysis platform for big data has a set of built-in analysis functions, including time series, geographic space, pattern matching, etc. These functions can help realize different types of data analysis.