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ORACLE
Oracle database is a multi-modal database management system. Produced and marketed by Oracle Corporation, it is a database commonly used for running online transaction processes, Data warehousing, and mixed data work loads.
Microsoft SQL Server
A relational database management system developed by Microsoft. SQL Server is commonly used for data warehousing, online transaction processes, and e-commerce websites. Microsoft markets at least a dozen different editions of Microsoft SQL Server, aimed at different audiences for workloads ranging from small single-machine applications to large internet-facing applications with many concurrent users.
MySQL
MySQL is an open-source relational database system. The main purpose of MySQL is for web databases. It is most commonly used for e-commerce, data warehousing and logging applications.
Microsoft Azure SQL Database
Microsoft’s cloud database service is based on SQL server database technology and built on the Microsoft Windows Azure Cloud Computing Platform. It enables organizations to store relational data in the cloud and quickly scale the size of their databases as required.
MongoDB
Mongo DB is an open-source database, which stores and indexes data in the form of collections of documents. In this way, it offers higher performance in data retreival, when compared to conventional SQL databases.
The Database Management System (DBMS) is defined as a software system that allows the user to define, create and maintain the database and provide control access to the data.
It is a collection of programs used for managing data and simultaneously it supports different types of users to create, manage, retrieve, update and store information.
DBMS allows users to create their own databases as per their requirement. The term “DBMS” includes the user of the database and other application programs. It provides an interface between the data and the software. In general a database is a collection of related data which represents some aspect of the real world. The main Four DBMS types are 1) Hierarchical 2) Network 3) Relational 4) Object-Oriented DBMS. DBMS serves as an efficient handler to balance the needs of multiple applications using the same data. A database management system also provides tools to administer the database schema – which dictates the structure of the database itself. In many cases, the database management system will be seen only by the database developer, because the developer will provide a different front-end for the customer. This front-end could be considered, by the most technical definition, to be a database management system in its own right — however, it is more likely to go by another name, such as a customer relationship management (CRM) tool. A Database Management System is defined as the software system that allows users to define, create, maintain and control access to the database.
A DBMS makes it possible for end users to create, read, update and delete data in database. It is a layer between programs and data.
The main uses of DBMS are as follows −
The purpose of DBMS is to transform the following:
The main uses of DBMS are:
Role of data in your business
A sophisticated relational database management system can help you store a vast amount of data which, as it builds up over time, can become increasingly useful and valuable.
For example:
In addition, the disciplines required to gather, enter and process such data can help to ensure that your business runs in a regulated and properly managed way.
It’s not always obvious what information is potentially valuable, so you should try to gather as much data as possible (bearing in mind your data protection responsibilities if you’re collecting personal data).
Databases can act as excellent customer relationship management system softwares. They can be tweaked to hold the entire record of your sales, marketing, and customer feedback. The goal is to build greater and more interactive connections with clients and generate more sales while cutting costs where possible!
Customer Service Management System offers tailor and custom built solutions to manage previous, existing and potential customers by analyzing customer’s sales and behavioral data thus directly benefiting revenue opportunities. Customer Relationship Management Software, CRM software in short, combine different features including cloud computing techniques, business analytics, and enterprise mobility to help deliver some of the best cost-effective solutions for your online business success.
Extending Power is offered with the customer relationship management (CRM) softwares does more than managing contacts as it offers a very secure access to business organization to access data and system from any desired remote location. It is designed to suit all present time business needs.
Relational database design (RDD) models’ information and data into a set of tables with rows and columns. Each row of a relation/table represents a record, and each column represents an attribute of data. The Structured Query Language (SQL) is used to manipulate relational databases. The design of a relational database is composed of four stages, where the data are modeled into a set of related tables.
The stages are −
• Define relations/attributes
• Define primary keys
• Define relationships
• Normalization
Relational databases differ from other databases in their approach to organizing data and performing transactions. In an RDD, the data are organized into tables and all types of data access are carried out via controlled transactions. Relational database design satisfies the ACID (atomicity, consistency, integrity, and durability) properties required from a database design. Relational database design mandates the use of a database server in applications for dealing with data management problems.
As record counts and database size increases, so does the need for a database system to effectively manage this quantity of information. Here are some of the benefits of using a database management system to handle the storage, retrieval, and maintenance of the information in your database.
Reduces the Amount of Time You Spend Managing Data
Effectively Integrates Data
Improves Data Sharing and Data Security
Keeps Data Consistent and Standardized
Keeps Data Compliant with Privacy Regulations
Increases the Productivity Of The End User
Better Data Management Leads to Better Decision Making
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