Solutions

Data Storage focus on where the Data are saved, and how they are organized to save. We work a lot with customers to provide data storage solutions with high security and availability from both the hardware and software level. Our solutions cover Kinds of data saving formation, such as RDBMS, NoSQL and Full-Text based Document to support different situations especially for the Big Data cases. Key features of our data storage solution:

• Varying hardware devices for data storage with different situations.
• Data storage with high security and availability.
• Support traditional RDBMS.
• Support NoSQL DB.
• Support Full-Text Search for Document storage.
• Optimizations for write, update and query.

Data always shows with noise, that's why we need Pre-Processing solution to do the Extract, Transform and Load (ETL) pipeline tasks to finally save to destination data store. Our team has very rich experience for the pre-processing tasks with a lot of technical tools. Key features of our solution:

• Support Full/Delta data ETL.
• Building ETL process with graphical easy user interface.
• Multiple source data,data mapping and calculating supported.

When try to model and visualize the data, we try to know the data, know the story in the data. There are a lot of classical modeling methods for data modeling and visualization, but they will be difficult when meet big data, especially real-time streaming data. So some new theories and technical frameworks raised to mine the information and knowledge from data. We work hard to help customer to achive this with our data modeling and visualization solution.

• Support structured, unstructured, semi-structured and live streaming data
• With dynamic/interactive data visualization tools
• Support losts of modeling models and methods.
• Always knowing your data first

The more accessible and usable the data, the more vulnerable it is to security threats; the more invulnerable the data is to threats, the more difficult it is to access and use. Our team handles a lot of cases to protect customer's data by apply data protection measures, such as the General Data Protection Regulation or GDPR,with below best practices,that secure customer's most sensitive data from unauthorized access, exposure, or theft

• Physical security
• Administrative and network access controls
• End user account/device security
• Encryption
• Database software security
• Application/web server security
• Backup security
• Auditing