Data Replication

Data replication is the practice of creating a copy of data by tracking changes in the source. In contrast to bulk data loading, data replication minimizes the amount of data moved between the source and target and keeps data synchronized in real time. Data replication is used to make data available for analytics by copying from BI-unfriendly and legacy systems to modern platforms. Data replication is also used for disaster recovery and high availability of mission-critical data.

• Make data available for analytics
  Replicating data to a data warehouse empowers distributed analytics teams to work on common projects for business intelligence and run modern business intelligence tools.
• Unlock your data stored in legacy systems
  By synchronizing data from your legacy systems to modern cloud (or on-premise) databases allows you to run modern applications without entirely rebuilding your existing applications.
• Improved reliability and availability
  If one system goes down due to faulty hardware, malware attack, or another problem, the data can be accessed from a different site.