MRS is based on the Huawei FusionInsight platform. It provides enterprise-level scheduling to isolate resources, and ensures Service Level Agreements (SLAs) for multi-level users. MRS has been deployed on tens of thousands of nodes.
MRS leverages a dedicated enterprise-level cluster management system so you can easily manage big data platforms. Platform exceptions are reported by SMS or email. O&M has never been easier.
With Kerberos authentication, Huawei's security expertise, and Germany PSA security certification, MRS provides role-based access control and sound audit functions to ensure 360-degree protection.
Equipped with a diversified cloud infrastructure, MRS offers extensive computing and storage choices for those on a budget, meaning on-demand operations for MRS clusters and cluster capacities.
Climate data is stored on OBS and periodically dumped into HDFS for batch analysis. 10 TB of climate data can be analyzed in 1 hour.
OBS offers cost-effective storage.
TB/PB-level data is analyzed by Hive.
Loader exports data to DWS for business intelligence (BI) analysis.
An automobile company stores data on HBase, which supports PB-level storage and CDR queries in milliseconds.
Kafka accesses massive amounts of vehicle messages in real time.
HBase stores massive volumes of data and supports data queries in milliseconds.
Spark analyzes and queries massive volumes of data.
Data of smart elevators and escalators is imported to MRS streaming clusters in real time for real-time alarming.
Flume implements real-time data ingestion and provides various data collection and storage access methods.
Kafka accesses data of tens of thousands of elevators and escalators in real time.
On-demand cluster creation and pay-per-use operations
Secure, reliable, efficient, and with high availability (HA)
Compatible with open source ecosystems, achieving seamless application migration