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MapReduce Service

MapReduce Service (MRS) provides enterprise-level big data clusters on the cloud. Tenants can fully control clusters and easily run big data components such as Hadoop, Spark, HBase, and Kafka.

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Progressive Knowledge

MRS knowledge for users from beginner level to expert level

Understand

MRS advantages and application scenarios are provided to help you quickly select your desired type and components to match services. This facilitates you in building a one-stop enterprise-level big data cluster for processing and analyzing massive amounts of data.

Service Overview

Start

After creating an MRS cluster, you can use different components to submit jobs to start your MRS.

Getting Started with MRS

Practice

Get more information of the application scenarios and operation procedures of MRS from the following cases.

Using Spark to Analyze IoV Drivers' Driving Behavior

Scenario Overview and Implementation Methods

APIs

Several MRS APIs and calling examples help you manage clusters and jobs.

API Reference

Develop Big Data Applications

By referring to the development guide, operation guide, and sample projects provided by MRS, you can develop, commission, and run your own applications.

Developer Guide

Purchase

MRS billing modes and configurations are available for you to select.

Pricing Details

Purchasing a Cluster

Be a Power User

You can scale in or out a cluster, scale up Master node specifications, and set auto scaling policies at any time based on service requirements. Additionally, you can view monitoring metrics and audit logs in real time to understand health statuses of clusters and nodes.

Creating a Cluster