Enterprise database management

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Enterprise Database Management system requires enterprises to evaluate their data management strategies and enable them to manage relentless data growth and regulatory compliances which are a crucial foundation for the unwired enterprise. The goal of enterprise database is to ensure that data once entered is clean and is never re-edited or revalidated.


Enterprise database management ensures database quality, and performance which serves both internal and external users. Continuous and growing data volumes, coupled with the legal and regulatory requirements to save data are impacting application performance and straining resources of the organizations. Exponential data growth has not only forced enterprises of all sizes to depend on efficient database applications but also evaluate and implement scalable solutions. Thus, enterprise database management should dovetail with existing systems to manage growth of data and maintain reference integrity of the application.

Upstream data growth[edit]

Escalation of data being collated by organizations about their business, employees, customers and suppliers, sometimes requires coordination between multiple sectors such as IT, Retail, Banking, Healthcare etc. Enterprises need to identify whether or not the database management system is adequate for handling transactions. More and more content is being created and all that data need to be managed. 80% of the data is unstructured, in the form of documents, Images, and audio visual files. One needs to look for

  • Atomicity or Consistency in software, in a database transaction, either all or none of the update becomes available to anyone beyond the user or the application performing the update.
  • Isolation- The results of a transaction are invisible to other users until the transaction is complete.
  • Durability – Once done the results of transaction are permanent and survive future system failures.

All this is stored in a number of file servers spread across the web, which is very difficult to secure, search and share.

Data replication[edit]

Enterprises must focus on formalizing database management through planning, standardization, and best practice adoption to improve operational efficiency and to lower costs. To increase efficiency, control where you can share info faster and compliance with security practices is a must. This requires making multiple copies of database located on different servers. The use of database in conjunction with various types of networks is increasing with the growth of networks and network technology. In many situations, it is desirable to manage database in a distributed manner i.e. multiple copies of the same database is stored in different servers, which in turn is connected to a network. Thus instead of a single server being accessed by all users, several different servers are provided thereby distributing the load. Distributed Database provides redundancy, such that when one of the servers fails data can be accessed through other servers which contain identical data. Maintaining synchronization of the database replicas is essential.

Data warehousing[edit]

Large databases require routine backup and maintenance with regular replication of data needed for tests and development processes. Managing such large databases, add risk and cost to organizations. Corporate policies and Government regulatory bodies make sure that data is retained by IT companies for a minimum of 5 years and by financial sectors for 10 years and so on.Enterprise data management helps reduce the burden on the organization to not only retain data but maintain accessibility.

Enterprise database management strategy[edit]

Enterprise database management is a strategy to manage growth in any organization. Data is categorized as per its value to the organization. Underutilized, less valuable data is archived and stored. As a result of this, there is improvement in application functioning. Organizations maintain access through the native enterprise application layer to ensure seamless data access for near and long term reporting requirements. Data growth is exponential in any organization and enterprise database management gives organizations the ability to stay ahead of data growth and achieve higher application performance.