It supports distributed data storage and processing and unified management and maintenance and has the capabilities of storing and computing mass data to meet the challenge of data growth in the DT era, laying a foundation for enterprises in such scenarios as user behavior analysis, user profile analysis, precision marketing, and personalized recommendation.
We take the mainstream technology to build the platform for you.
Mainstream big data open source components, such as Hadoop, Hive, Spark, Storm, Flume, Kafka, and Alluxio, are put together to build an open big data foundation platform.
HDFS-based distributed file storage, HBase-based large-scale distributed data storage, and Alluxio-based file IO performance enhancement, are combined to meet the need of mass data storage and management.
The platform offers Map Reduce and Spark to provide high-performance offline batch processing of mass data.
The platform offers Spark Streaming, Storm, and Flink to provide rapid stream-oriented processing of real-time data to meet the need of real-time analysis.