Big Data Development Center

Advantages

Quickly build a data middle platform with feature-rich visual components and a few lines of code.

Stable Basic Capabilities

Interconnect IoT data across domains, acquire multi-source heterogeneous data in an all-around way, and sync real-time data and historical data to the cloud in bulk or in the way of incremental synchronization.

Cost-Effective Building

Compress and save IoT data with optimal price performance. Even non-professionals can quickly gain clear insight into the complete data R&D process.

Fast Project Delivery

The integrated data solutions help to cut costs of project delivery. You can easily create smart data applications on the web, being relieved from the setup of a local development environment and long-term maintenance of servers.

Diversified Data Analytics

A broad spectrum of data analytics capabilities, such as time series analytics and stream analytics, work together to satisfy complex data analytics scenarios in the era of IoT.

Features

Data Sync and Processing

Integrate discrete data through data integration, and process the data by using the extract, transform, and load (ETL) procedure.

Data Storage and Computing

Improve performance and stability while reducing overall storage and computing costs. Perform real-time computing on streaming data and output the results with low latency.

Data Development

Provide a one-stop visualized development environment and collaborative workflow orchestration. Backed up by comprehensive engine capabilities, perform efficient development without the need for complex engine command lines.

Data Services

Provide a wide range of data services and data sharing capabilities. Generate data APIs from data tables with a few lines of code. Meanwhile, function computing and service orchestration are available.

Architecture

Development

Quickly build a data middle platform as you want.

1. Data Integration

Implement data transfer among data sources by leveraging the data sources and data sets that define the source and destination of data. Interconnect data of different systems to achieve free flows of offline or online data.

2. Data Development

In a specified business process, you can find an engine, create a node of the engine, and then issue the engine code to the data cleansing engine to run.

3. Data Quality and Asset Management

Create metrics and computing rules to monitor the business metrics and data quality. Moreover, view data assets based on data maps.

4. API Service Development

Generate APIs from data tables, and quickly register existing APIs with the data service platform for unified management and publishing.

1. Data Integration

2. Data Development

In a specified business process, you can find an engine, create a node of the engine, and then issue the engine code to the data cleansing engine to run.

3. Data Quality and Asset Management

Create metrics and computing rules to monitor the business metrics and data quality. Moreover, view data assets based on data maps.

4. API Service Development

Generate APIs from data tables, and quickly register existing APIs with the data service platform for unified management and publishing.

Recommendations

Data Analytics

Provide developers with one-stop services featuring easy development and high efficiency, helping explore unlimited data value.

Data Visualization

The data visualization service provides secondary development tools and visual components, helping you see and understand trends, outliers, and patterns.

Data Dashboard

Provide IoT big data services to assist enterprises in making more informed business decisions.

Take the next step

Consult now and quickly build your desired data middle platform.

Data Service Docs

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