Data Center Full-Stack IT Architecture Integration
Infrastructure Operations Insight Analysis and Optimization
Business Migration To A Hybrid Cloud Environment
IT Infrastructure O&M Services For Chinese Enterprises Going Global
IT On-site Services For Multi-Branch Organizations
Enterprise IPv6 Application Transformation Consulting And Implementation
Building Orchestratable Security Framework For Online Transactions
Low-Latency Trading Optimization Solution In Securities And Futures Markets
Network Construction Of Data Center Resource Pool
Backbone Network And Traffic Engineering
Full-stack IT For Urban Commercial Bank Data Centers
Building A BDR System For Data Center
As an AWS advanced consulting partner, ECCOM is not only AWS Managed Service Provider and China Solution Provider, but also has joined the AWS Solution Provider Program. The company has AWS Migration Consulting Competency and Security Consulting Competency, and dozens of AWS senior certified professionals provide customized services to customers.
ECCOM has rich experience in key business cloud experience and strong public cloud technical capabilities, including tools, methods and practices, it can provide customers withAWS-related consulting planning, migration implementation, managed operation and maintenance, architecture optimization, data management and data value A series of professional services such as excavation.
ECCOM, as a close digital partner of many companies, has long been trusted and recognized by customers. When customers are considering putting big data storage and analysis services on the cloud, they will seek ECCOM as their close consulting and landing partner to help them with the best way to achieve the goal.
The traditional database-based data processing mode requires personnel to be on duty for 24 hours due to insufficient robustness in the big data scenario.
The threshold for data analysis business development is high and it is difficult to achieve agility.
The dimensions of big data analysis far exceed the traditional analysis dimensions of performance data, making computing power more and more strained, and distributed processing is urgently needed.
The cost of data storage and operation has increased sharply, and the difficulty of management has increased significantly.
The increase in the number of users poses a challenge to the data access mechanism, and the slow response time is becoming increasingly severe.
Based on AWS' complete infrastructure ecology and advanced service tools, save enterprise data in the form of a data lake to AWS and use Amazon Web Services native data analysis services to efficiently and securely carry out data analysis activities on the basis of cost optimization , Customers can meet their needs in the most convenient way.
EMR and S3 are the foundation of the data lake. The data analysis business on AWS usually takes them as the core, and implements it with other services (including native services and third-party services) according to different business needs. EMR cooperates with S3 to separate computing and storage. The elasticity of EMR is used to ensure availability, and S3 is used to provide low-cost and reliable storage. EMR continues to update the latest version of Hadoop ecological tools and integrates various AWS services to achieve analysis goals. It can get an accurate and efficient operation experience with the help of AWS operation and maintenance tools.