What are the things the data analysis:
Things Data Analysis, also known as Link Analytics, a device intelligent analysis service Ali cloud Things developers provide full coverage of the link device data generation, management (storage), cleaning, analysis and visualization sectors. Effectively reduce the threshold for data analysis, help develop things work.
More on data analysis of the contents of Things: Things Data Analysis and Visualization
The main things the ability of data analysis include:
- Data Management
Things data analysis services to provide easy approachable, efficient cost-effective data management capabilities. While supporting a key IoT device configuration data storage and data management services to support cross-domain analysis IoT device data and business data.
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Data Development
Provide one-stop global aggregate data query capabilities, based on business scenarios that you can quickly build analytical tasks.
- One-stop: support SQL queries of Things platform system data, device data and data licensing business.
- Fast: ready to use, without any data transfer or storage areas.
- Standard: The standard SQL query service.
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Flow Data Analysis
Data analysis is based on a flow stop Apache Flink constructed, large high-performance real-time data processing. Widely used in streaming data, off-line data processing. Things for scene reconstruction can drag modular layout, which greatly reduces the threshold of real-time data analysis; support edge gateway used in conjunction with, especially for the industrial scene of things.
- Spatial data visualization
For IoT data features, support for two-dimensional, three-dimensional visualization of spatial data with real-world data connection.
- Two-dimensional data visualization in real time to show operating status of the device on the map, so you can view, manage equipment. The results support the authorization page URL to share with other users, for the production of large-screen data and other scenes. At the same time supporting the provision of corresponding low-power network targeting, real-time view device location.
- Three-dimensional data and visualization of providing mass model editor, drag is modeled by simple things associated with the platform device, easy to build three-dimensional visualization. Support will share results page URL or embedded into the designated system, real-time display operational status of equipment, the equipment for remote control.
Things data analysis product architecture:
Networked data analytes including data collection, data cleaning, data analysis and data presentation into four parts.
设备产生数据后，物联网数据分析中的数据管理模块，存储IoT设备数据和管理业务数据，并支持跨域分析数据，对数据进行清洗。数据清洗后可通过数据开发模块进一步分析，快速搭建开发任务处理设备数据。最后可将数据分析结果展示在空间可视化模块中，也可通过流数据分析模块，将数据流转到其他云产品或边缘端展示。
二维数据可视化：
二维数据可视化支持在地图上实时展示设备的运行状态，方便您查看并管理设备。同时支持将URL授权分享给其他用户，可用作数据展示大屏等。
二维数据可视化主要功能包括：
- 多种经典地图模板供用户选择
- 支持自定义展示设备运行状态
- 支持远程控制设备
三维数据可视化：
三维数据可视化服务通过空间建模展示设备实时状态，方便您查看设备状态并进行管理。
三维数据可视化主要功能包括：
- 支持拖拽建模
- 支持IoT设备联动
- 支持空间搜索
更多精品技术课程：
阿里云大学官网（阿里云大学 - 官方网站，云生态下的创新人才工场）