Big Data Migration

EMR Migration Service

AWS EMR (Amazon Elastic MapReduce) is a fully managed cloud computing service for processing large datasets. Based on Apache Hadoop and Apache Spark open-source frameworks, it provides a simple, fast, flexible, and cost-effective way to process large-scale data. AWS EMR helps users more easily configure, manage, and scale Hadoop and Spark clusters, and automate running these clusters on AWS cloud infrastructure.

AWS EMR Advantages

Hadoop and Spark

AWS EMR is based on Apache Hadoop and Apache Spark open-source frameworks, providing users with a simple, fast, flexible, and cost-effective way to process large-scale datasets.

Managed Clusters

AWS EMR provides fully managed Hadoop and Spark clusters, eliminating the need for users to purchase, configure, and manage hardware and software.

Elastic Scaling

AWS EMR can automatically adjust cluster size, adding or reducing computing resources based on demand.

Multiple Computing and Storage Options

AWS EMR supports various computing and storage options, including Amazon EC2 instances, Amazon S3 storage, Amazon DynamoDB databases, and Amazon Redshift data warehouse.

Various Tools and Technologies

AWS EMR supports multiple open-source tools and technologies, such as Hive, Pig, HBase, Zeppelin, etc., making it easy to use these tools for data analysis and processing in clusters.

Security and Reliability

AWS EMR provides numerous security and reliability features, including encryption, access control, backup, and recovery.

Console and API

AWS EMR provides an easy-to-use console and API, enabling users to quickly create, launch, and manage Hadoop and Spark clusters.

Big Data Migration Consulting Services

Comprehensive consulting services designed for enterprises planning to migrate big data systems to AWS EMR

Business Assessment and Solution Design

Understanding customer business needs and designing reasonable big data platform solutions based on requirement analysis results.

Big Data Cloud Migration Design

Planning cloud migration strategies by selecting appropriate products and steps based on customer business requirements.

Big Data Migration Design

Developing secure and efficient solutions to assist customers in implementing big data platform migration, completing the transition from original big data platform to AWS cloud platform.

Big Data Collection Design

Establishing a data collection analysis indicator system is the foundation of big data databases and a prerequisite for covering the breadth and depth of user behavior data. Yanhuang designs comprehensive collection metrics based on customer business needs.

Big Data Visualization Design

Yanhuang provides customers with rich cases and templates, as well as customized solutions, ensuring clear and real-time data visualization.

Performance and Architecture Optimization

Based on customer business requirements, we help customers conduct inspections from big data platform performance and architecture perspectives, proactively identify potential performance bottlenecks and risks, and provide optimization and improvement suggestions.

Migration Benefits

Why choose AWS EMR for your big data workloads

Cost Reduction

Reduce infrastructure costs by up to 50% with pay-as-you-use pricing model.

Enhanced Security

Built-in security features and compliance with industry standards.

Improved Performance

Faster processing with optimized cluster configurations and auto-scaling.

Simplified Management

Reduce operational overhead with fully managed infrastructure.

EMR Use Cases

Common scenarios where EMR migration delivers value

Data Analytics

Process and analyze large datasets for business intelligence, reporting, and data science applications.

ETL Processing

Extract, transform, and load data from various sources into data warehouses and data lakes.

Machine Learning

Train and deploy machine learning models on large datasets with distributed computing power.

Industry Customer Cases

CUSTOMER REFERENCES

ASINKING

Cross-border E-commerce

ASINKING is a company focused on cross-border e-commerce ERP management systems. They chose multiple AWS cloud services, including EKS, EC2, Athena, ElastiCache, Global Accelerator, SES, SQS, and Direct Connect. We provided them with EMR migration, DevOps, and operations services, helping them build an efficient, stable, and secure ERP system on AWS. Additionally, we provided AWS-based AI/ML services to help ASINKING better process and analyze data for more intelligent decision-making. Through the introduction of EMR migration and DevOps services, our professional team helped ASINKING achieve more efficient data processing and rapid deployment processes, greatly improving their business response speed and data analysis capabilities. These services helped ASINKING obtain more accurate and in-depth data analysis, better predict and plan business development and market trends, and improve their competitiveness and market share.

CIDER

Cross-border E-commerce

Founded in September 2020, CIDER is a cross-border e-commerce platform targeting Generation Z, primarily offering affordable, trendy women's fashion. CIDER has accumulated billions of exposures on global social media, reaching consumers from over 100 countries. Currently, they have offices in Guangzhou, Beijing, and Los Angeles, with branches in New York, London, Seoul, Brisbane, and other locations. In just its first year, CIDER captured Gen Z characteristics, starting from social media to build its initial user base, and has already gained over 2 million followers globally.