Data Management

• • Data management is the process of ingesting, storing, organizing, and maintaining the data created and collected by an organization. Effective data management is a crucial piece of deploying IT systems that run business applications. Also, it provides analytical information to help drive operational decision-making and strategic planning by corporate executives, business managers, and other end users.  
  • The data management process includes a combination of different functions that collectively aim to make sure data in all systems are accurate, available, encrypted at rest, in transit, and in use.
  • The primary technology used to deploy and administer database is a database management system (DBMS). This is the software that acts as an interface between the database it controls and the database administrators (DBAs), end users that access them.

Our fundamental data management disciplines include the following:

• Data modeling, which diagrams the relationships between data elements and how data flows through systems
• Data integration, which combines data from different data sources for operational and analytical uses
• Data governance, which sets policies and procedures to ensure data is consistent throughout an organization
• Data quality management, which aims to fix data errors and inconsistencies
• Master data management (MDM), which creates a common set of reference data on things like customers and products

1. Microsoft SQL Server on-premises and Azure Cloud
2. Oracle Database on-premises and cloud 
3. MySQL Database
4. AWS Cloud Database
5. NoSQL systems