The Big Data Management platform, Manager, provides massive data storage and multiple high-performance computing frameworks based on Apache Hadoop, covering data storage, batch processing, real-time computing, data ETL, SQL engine, workflow engine, task management and other aspects. The platform uses open-source technology in the Hadoop ecosystem as the underlying technology and supports mixed loads for applications of multiple computing types, such as batch processing applications, interactive queries, high-frequency read/write, full-text search, data mining and real-time stream computing. Additionally, the platform provides a complete security guarantee system, graphical platform management, data operations, data engine, enterprise-level security management and a real-time incremental data synchronization tool.
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The Big Data Analysis platform, Miner, is a cloud analysis platform based on machine learning and AI. It provides thorough BI reporting as well as various extraction/cleaning/modeling services for big data. The advanced graphical interface, combined with drag-and-drop service and various algorithm models, can fully satisfy users' needs.
The "Big Data Analysis platform" is devoted to converting unstructured data into structured data through a computing model and visualizing the information hidden in data in a visualized form. It can be used for graphical presentation services. The platform allows users or technicians to quickly create models and charts through visualized configuration, reducing the workload while streamlining the requirements of staffing. It can complete data computing, analysis and display without modifying underlying codes. The platform greatly improves the development efficiency and application value of data.
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The Big Data Governor platform is used for the structured governance of large-scale unstructured and low-quality texts. It employs a streaming big-data computing architecture and has the ability to govern hundreds of billions of article data and process millions of data updates every day in real time. The streaming big-data computing architecture makes it easier to extend data-governance capabilities. The design of a streamlined data governance process enables the flexible configuration of governance process and the combination of different governance algorithms. These powerful but efficient data governance methods make data simplified and orderly so that data is easier to analyze and reflects more value.
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GTCOM has independently developed the DataMap Data Visualized Analysis platform and the Data Galaxy Knowledge-graph visualized Analysis platform.
DataMap can perform in-depth visualized mining and analysis for various kinds of data. Additionally, it offers convenient "what you see is what you get" data visualized configuration tools that satisfy the visualization needs of customers in different industries with respect to event monitoring, business control, early warning of risk, analysis of geographical information and other aspects.
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Overview
"Express" is an integrated data platform created by GTCOM on the basis of existing cloud-computing platforms. It can provide cross-language data analysis, intelligent machine translation and real-time information retrieval services. Designed for data supply, data demand and data service parties, it is intended to help users integrate data, solve the problems associated with missing data and enhance the value of their data as well as to help enterprises solve the problem of data silos and make their operations more efficient.
"Express" supports a variety of data transaction methods, including API interfaces, applications, data packages, reports, overall solutions and personalized customization.
Massive data
Real-time data
Scenario-based data
Compliance data
Customized data
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