Accurate prediction behind the real-time analysis tools

Source: Internet
Author: User
Keywords UF
Tags analysis big data business data data integration data sources demanding different

In big data environments, the time dimensions of data occurrence are also changing, and companies are demanding more real-time data. The original business data, including annual reports, monthly reports, quarterly reports, weekly, the fastest is the daily, but now the time dimension of business data has been completely changed, the smallest unit may be seconds.

The more real-time data, the greater the value of the business. Although the traditional business analysis products are full-featured, the analysis of non-real-time historical data can not meet the real-time requirements of business personnel to analyze the data. In the face of rapidly changing business data, the value of a day before and after a very different. The faster you get the data, the quicker you can analyze it, avoiding the analytical errors that result from time differences.

Thus, behind each leading accurate forecast, there must be real-time analysis tools! Do not believe, you see ~

A new generation of UF BQ can provide real-time data based on UF AE real-time data integration, memory computing real-time data analysis capabilities, greatly improving data analysis speed and efficiency.

UF BQ in the new data processing and analysis of the data layer to break the previous treatment, data collection from multiple data sources through traditional ETL / ELT conversion to a database, the establishment of query analysis model to provide data analysis, simplified to adopt a new The AE engine, through the use of real-time data integration, inventory, adaptive compression, horizontal partitioning, intelligent indexing, distributed computing and other technologies will be collected from different data sources, real-time data loaded into memory, and then ETL is provided for commercial analysis to improve the real-time data access and analysis efficiency.

UF BQ based on log analysis and message middleware technology, the internal high cache, high concurrency architecture. With incremental real-time data integration and flexible deployment model, the user operation easier and more flexible. BQ Real-Time Integration enables business data integration delays of less than 1 second for 5000 online users.

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