E-MapReduce

E-MapReduce is an industry-leading big data processing and analyzing service based on Ping An Cloud. It integrates open source big data ecosystems such as Spark, Hive, Storm, Hadoop, etc, and provides highly reliable, high-performing and secure big data processing and analysis services, including task management, cluster management, monitoring and warning services.

Value Proposition

Simple and Easy to Use

According to the business requirements, suitable software and hardware combinations are selected to create different cluster analysis versions and it executes automatic deployment.

Security

It provides a financial grade comprehensive security service, including server security and DDoS defense, etc. Hardware availability is guaranteed to be higher than 99.94%.

High Reliability

With comprehensive monitoring and smart warning systems, it monitors the host operating systems hierarchy, clusters and tasks, sending alarms to the responsible personnel in real time as soon as abnormal situations are detected.

Low Cost

Users can freely scale, create and release clusters and dynamically add nodes to reduce expensive hardware costs. Prepayment and pay-as-you-go options are both available.

Use Cases

Offline Data Processing
Streaming Data Processing
Instant Analysis

Upload massive volumes of data on the business server to OBS and connect to E-MapReduce cluster. Conduct in-depth data mining with big data analysis and processing tool kits such as Spark, Hive, Hadoop and other mainstream calculation frameworks. Analyzed data can also be synchronized to OBS database, HDFS and other storage engines.
Recommend to use with： Elastic Compute Service Object Based Storage

The real-time data on the business server will connect to E-MapReduce clusters by Kafka channel. Then, selects suitable data processing engine to compute real-time streaming data. Analyzed data can also be synchronized to the OBS database, HDFS and other storage engines.
Recommend to use with： Elastic Compute Service Object Based Storage

Connects real-time data in data storage engines to E-MapReduce clusters and selects suitable engines for instant analysis.
Recommend to use with： Elastic Compute Service Object Based Storage

Success Stories

Shenzhen Union Pay

Ping An Securities

Ping An E-Sale

Ping An Good Doctor

Functionality

Automatic Elastic Cluster Management

Configures master and core instances according to the specific business requirement

Freely select combinations, versions and the operation types of big data components

Freely add big data services and add or release clusters according to business volume

Interactive overview for visualized monitoring of cluster status, operation process and service status

Diverse Task Management

Interactive work console enables users to freely select combinations and versions of open source big data ecological software, which currently includes Hadoop and Spark SQL.

Storage and management based on OBS database and HDFS

Support batch data access(OBS) and real-time data access(Kafka)

Support off-line compute, stream compute and database management

Diverse operation types and management, including Spark, Hive, Storm and etc.

Support operation queries and refresh

Real-time Smart Monitoring and Warning

A comprehensive monitoring system detects and reports abnormal conditions in the host operating system hierarchy, clusters and task monitoring processes.

Abnormal conditions are reported to the responsible personnel and recipient groups in real-time for timely actions.

Tariff and Pricing

Service fees include E-MapReduce platform service fee, ECS service fee , EBS service fee, and ELB service fee. The E-MapReduce platform service fee which is charged according to the following billing methods:

Monthly price from

￥820 /month

Annual price from

￥8200 /year

Hourly price from

￥1.139 /hour