How to analyze and process big data

Data Integration of Big Data Analysis and Processing Based on Code Detection Technology —— Building Aggregation Data Warehouse

Collect the data needed by customers in real time through web crawler, structured data, local data, Internet of Things equipment, manual input, etc. And build a free and independent database for enterprises. Eliminate the problem of insufficient and untimely customer data acquisition. The purpose is to collect and store the data that customers need in production and operation.

2. Data management: building a powerful data lake.

After extracting, cleaning and transforming the data in the database, the scattered, messy and inconsistent data are integrated together, and the query performance is improved by modeling the data in the analysis database. Combine data from multiple sources, establish complex connections and aggregations, and create visual icons of data, so that users can obtain data values more intuitively. Power the internal business intelligence system and provide valuable insights for your business.

3. Data application: productization of data.

The data in the data lake will be truly applied according to the customer's industry background, demand, user experience and other angles, and generate valuable applications to serve the customer's business office. Realize data capitalization operation.

Treatment methods of gathering clouds and melting rain:

Treatment method of gathering clouds and melting rain

Juyun: Code detection technology covers all kinds of data processing applications. Taking data as raw materials, through network data collection and production equipment data collection, all kinds of original data are concentrated to the cloud to create a powerful data storage library for customers;

Melting rain: using model algorithm and artificial intelligence technology to calculate and integrate the stored data, so that the data and algorithm can react qualitatively, turn clouds into rain, and make the truly valuable data flow move;

Ditching and drainage, moistening things silently: the falling "rainwater" will converge into data lakes, and the data will be marked and processed. According to the needs of the industry, ditch drainage is carried out, and a series of data tributaries are integrated into the comprehensive data application, which brings value to the industry users and makes the spring breeze and rain moisten things silently.