Industrial AI Big Data High Speed Storage and Knowledge Analysis

Solution brief

With the growing amount of information technology data, big data storage and computation has become an essential need.


Dihuge big data high-speed storage and knowledge analysis system, based on distributed file big data storage Hadoop, distributed memory computing platform Spark,

support for structured and unstructured big data storage, and complete real-time online analysis of massive data, for the results of the analysis, semi-automatic learning

and construction of the use of knowledge maps.



Solution function

The big data high-speed storage and knowledge analysis system uses Hadoop, HDFS, HBase and Spark technologies to achieve the storage, reading, computing, mining and analysis functions of big data, as well as intelligent search, question and answer, and inference functions of the knowledge graph.

Bright spot

The big data high-speed storage and knowledge analysis system makes use of artificial intelligence methods such as neural network, machine learning, deep learning, etc., to effectively analyse and mine big data; it adopts Spark, a distributed memory computing platform, to complete real-time on-line analysis of massive data, with the hot-plugging effect of automatic expansion, and to support a variety of complex models and business function calculations at the business layer. Based on the mining and analysis of massive data by the big data computing platform, it builds a huge and mature business knowledge base and achieves rapid response and reasoning of knowledge.
  • Flexible storage & high performance: support for storing data in various structured and unstructured formats, with high-speed data processing capabilities.
  • Scalability: Ability to quickly scale to the requirements of big data applications.
  • Using the mining and analysis of large amounts of data to build a huge knowledge base and achieve rapid response and reasoning of knowledge.

Application scenario