The education big data platform is an application system integration product for big data at the level of regional education bureaus. It is an important platform that takes data-driven as the core, establishes data standards, forms basic databases, provides single sign-on, integrates existing system data to form educational big data, and uses educational big data for analysis and decision-making.

Through the establishment of the education big data platform, the massive education data can be centralized and effectively controlled, providing conditions for the government to build a "data cage", build a list of rights and responsibilities, realize work supervision and support performance appraisal. On this basis, we will build a pattern of macro-management by the government, independent running of schools, extensive social participation, clear functional boundaries and "co-governance" by multiple subjects. By satisfying different users (students, teachers, parents, etc.), the dimensions of teaching, learning, management, evaluation and examination are more ubiquitous, refined, personalized and efficient, and data are accumulated, which lays a solid foundation for the sustainable development of education and meets the higher requirements of education in the era of big data.

product function

data integration

According to the predefined business data interface, the data center collects, summarizes, cleans, reviews and evaluates the data of major business systems, and then classifies and stores the data.

Support the docking of various data such as collection scripts, terminal devices and data interfaces, and support the access of various heterogeneous data sources in various data formats such as text data, database data, log data, xml and excel. Support real-time data and offline data acquisition. Provide metadata exploration and collection and flexible data quality audit rules. Support the collection and storage of total data and incremental data. Consider the growth of user scale and data scale, and prepare for the accumulation of data assets.

Data docking

Data source docking includes active data extraction, data filling, streaming mode, batch import mode, external data file import, heterogeneous database import, incremental addition mode, online crawler mode and so on. The platform provides rich data integration interfaces, and the data sources include data access of various application systems, Internet data collection and external temporary data import support. Data formats mainly include text files and XML. Transmission frequency includes non-real-time, quasi-real-time and real-time forms. Data forms include structured data, semi-structured data and unstructured data.

data processing

It is responsible for extracting data from distributed and heterogeneous data sources, such as relational data and plane data files, to the temporary middle layer for cleaning, transformation and integration, and finally loading them into the database or data mart, which becomes the basis of online analytical processing and data mining.

The system provides new fields, and existing fields can be processed by expressions and formulas. By default, expressions and formulas support synchronization, accumulation, scheduling, row-to-column, column-to-row, grouping total, proportion, completion rate, repeated counting, latitude and longitude and time conversion.

Chart visualization analysis

Data visualization tool is to make analysis no longer limited to observing and analyzing data information through relational data tables, but also to see data and its structural relationship more intuitively. The basic idea of data visualization technology is to represent each data item in the database as a single entity element, and a large number of entity elements are assembled to form a data image. Through the method provided by the data visualization engine, the key entities in the image are associated, backtracked, expanded, laid out and scaled, and the data are observed from different perspectives, so that the data can be further studied and analyzed.

GIS visual analysis

The platform introduces emerging concepts and technologies such as geospatial and big data analysis, realizes the organic combination of geospatial databases, schools and students, constructs a "map" of spatial data, and creates spatial visualization analysis and comprehensive data analysis, which has become the basis for improving regional education decision-making and education quality.

technical superiority

usability

The system adopts a simple, intuitive and friendly graphical interface, and the operator can quickly complete the design and implementation of daily report by dragging and configuring. Generally, after short-term training, you can be proficient in post operation and complete daily system maintenance. The learning cost is low, the product is quick to use and the operation is simple and quick.

Self-service analysis provides a flexible and convenient operation interface, allowing users to arbitrarily select indicators, dimensions and filter conditions, and quickly generate multidimensional analysis tables, query results, statistical charts, etc.

liquidity

The system adopts H5 mode to ensure adaptability, and users can browse and access the reports in the jurisdiction online and offline through various channels such as browser, mobile phone and tablet computer.

Users can quickly analyze and modify reports through mobile phones, and see real-time analysis data anytime and anywhere to achieve the purpose of mobile decision analysis. Mobile BI can be seamlessly connected with the presentation on PC, supporting the use of a set of reports on multiple platforms.

expansibility

Scalability includes two aspects. On the one hand, the system dynamically expands according to the changes of data volume and visits, and the cluster design and distribution ensure the scalability. On the other hand, the system provides a large number of open interfaces, and users can add data sources, visual components, report templates and so on. According to your own needs, it is convenient for the rapid development of system applications.

Embedded analysis

By providing a complete open API interface and embedded model, the system is perfectly integrated with existing application systems, and spreadsheets, graphical displays of key performance indicators (KPIs) or other reports can be obtained from the existing platform with just a few clicks of the mouse and a few keystrokes. This information can play an important role in your daily operational decision-making process.

Fault tolerance and security

Built-in login user and permission management module, including user account system management, role permission management and data permission management. Permission setting template provides the functions of adding, deleting and managing institutions and users, and provides user permission setting functions, including login, design, publishing and data permission.