FusionInsightEnterprise-class large data platform
FusionInsightEnterprise-class large data platform
US$0.00
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FusionInsight is a unified platform for enterprise-class large data storage, query and analysis based on Apache open source community software, which Huawei has launched for many industry customers. It is based on the massive data processing engine and real-time data processing engine as the core, and for the financial, operators and other data-intensive industries such as operation and maintenance, application development and other needs, to create agile, intelligent and reliable platform software, modeling middleware And OM systems, so that enterprises can be faster, more accurate and more stable from all kinds of complex and disorderly mass data found in the new value points and business opportunities.

Key Features

  • Agile: a comprehensive optimization of large data platform to achieve rapid mass data processing

    To open architecture, support batch, micro-batch processing, real-time processing and other business needs. At the same time, the data processing, business development, business transplantation and other aspects of a comprehensive optimization can be easily achieved rapid business transplantation, rapid data processing.


  • Wisdom: A multi-million dimensional modeling framework that provides insight into user behavior and characteristics

    It supports data modeling of user data in excess of one million dimensions, provides insight into user behavior and characteristics, and provides more scientific and comprehensive business support for business decision-making and mining of new business opportunities.


  • Trusted: Financial-grade, trusted solutions that effectively support enterprise-class core business data processing

    According to the data-intensive industries such as finance and operators to design and develop products with high reliability, high stability and high security, it can effectively support the processing and analysis of enterprise-level core business data.

Technical specifications

classification

Indicators

specification

说明

Parallel computing engine (MapRdeuce) performance indicators

WordCount:Average processing power per node (GB / min)

8GB/minute

12节点集群;
节点典型配置:
CPU:2*E5-2650
内存:128G
硬盘:SATA盘

Terasort:Average processing power per node (GB / min)

6GB/minute

Parallel computing engine (Spark) performance indicators

WordCount:Average processing power per node (GB / min)

27GB/minute/Node

Terasort:Average processing power per node (GB / min)

6GB/minute/Node

HivePerformance

Processing capacity-HiveAggregation:Average processing power per node (GB / min)

8GB/minute

Processing capacity-HiveJoin:Average processing power per node (GB / min)

2GB/minute

HBasePerformance

100%Random read: the average number of records per node to read (1KB each record), the response time is less than 50MS

30,000 Records/s

100%Random write: the average number of records written per node (each record 1KB), the response time is less than 50MS

37,000 Records/s

Sequential scan: average number of scan records per node (1KB per record), response time is less than 50MS

10,000 Records/s


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