Database replication is the method of copying data electronically from one database in one server or computer to another, so that all users share the same sort of data. This distributed information can be accessed by users who can handle relevant tasks without disturbing other people.
The implementation of this process for the function of avoiding data inconsistency or ambiguity among users is called as normalization. And, all those who aspire to build DataStage Careers must have clear idea of basic as well as advanced database concepts.
Imagine that a user has asked you to form a contact-management solution, which the organization’s sales staffs can employ for tracking orders and buying. Each sales representative can be connected to the organization’s network. A traditional method to solve this problem is to separate tables from one object in the database, so that others info can sit in a back-end based on the internet, or network server, while the forms, macros, queries, modules, and reports reside in a separate front end base on the user’s system. The things arranged in the front end are based on tables, which are correlated with back-end server. When sales executives need to update or retrieve data in the system, he can use front-end base.
The process enables one to take a new method to create this solution simply by building a single database, which has both the objects and data, and then making replicas for each sales executive. Replicas can be made as per each user’s convenience and can be synchronized with Design Master on a server. A representative can make changes on computers during the course of work and users can see the replicas on the server as required.
Moreover, you can select to copy only a portion of the info in the Design Master and can create partial replicas for different users. In this case, an employee who uses replica is typically required to have only related data as replicating all information can create unnecessary duplication and processing of data. By doing partial replicas, one can copy only that info needed actually. Each replica in this case can handle a subset of that data, not the complete set of data.
As it is related to SQL server, it is the method of keeping info synchronized in multiple databases; maintaining and implementing duplication is not a simple process, if you’ve several servers, which needs various types of duplication. In such cases, even a simple replication task can become complex. Replication can be used in numerous scenarios and can be done in three main ways: snapshot, merging, and transactional replication. In snapshot, data on one network is simply copied to another. Merging is the method to combine data from two or more databases into single. The transaction is a method in which users get full initial replicas of the database and then get periodic upgrades as data updates.
It is the most reliable method that most companies use as it ensures that all additions, deletions, and changes executed on the data in any given circumstance is automatically reflected in the stored locations. Database replication helps manage a current backup of system settings and info to deliver fast restoration after a disaster occurs. And, all those wish to build longstanding DataStage Careers, must understand these concepts well.