The importance of modern Database application in relevance with the technology for their effectiveness

Introduction:

Data could be product data, sales data, customer buying data, finance data, attribute data. So, what we doing with data and how it is benefitting us. We collect data, store it in a specified location, access it and maintain it for our reference. In short, we use database for helping out in our present and future activities. With upcoming technology and needs, there are requirement changes to us for data with world moving slowly towards modern databases.

Let us discuss each aspect in more detailed manner to understand the same.

Database

Anything which we would like to store is information we could use to make our work easier and fruitful. This collection of information is database. It could be regular personal data or official data. Different types of databases are:

• Personal data: data such as daily or monthly expenses to monitor our expenditure, helping out in craving our savings budget is an example of one such database. Other is one which we use in our phones, storing media on cloud.
• Sales transactions: Giving us insight about the prices and customer buying trend.
• Customer data: We these days find in between accessing social media websites came across media links which diverts our attention. We sometimes click links which interests us and that website collects out personal information – contact details. This data organizations use to connect to potential customers. There are another use of customer data where social media collects them to improve user experience. Ever noticed after watching a particular reel of an artist on Instagram, we come across various similar artists on our page. This is data usage.
• Product information: In organizations, data of different stages of product development and manufacturing is stored in system for future references. This helps to improve the process, development saving lots of time and quality enhancement.

Advantages of Databases:

• Improving business process
• Customer creation
• Personal data storage

History of Database

Database evolved near about in 1960s. Earlier data was pretty rough where data stored was related to many different contents. It was sort of tree type structure with roots linking to different other ones.

Relational database came into existence in 1970s. In 1990s many organizations started using it for enhancing their work. There are different categories of databases. It could be numeric, image based, full text. Databases are categorized how they are organized. Simple flow of database management (DBMS) can be understood from Image 1.

Types of Databases

Relational databases: This is tabular type of database. In this, data is arranged in rows and columns. We have predefined spaces or we say categories in the tables. The data in column is related to one in rows. Data can be added, deleted or searched accessing these columns and rows.

The system used to store, add, delete, manage, maintain, query is known as Relational Database Management System. (RDBMS). 

RDBMS helps us to make changes to data, generate report and observe it.

The data has key associated with it which find out the respective rows and columns to access the required information of interest. Different examples of relational database are Oracle, MySQL, DB2, PostgreSQL etc.4

From the Image 2 we can see the RDBMS consists of tables with rows and columns with relationship spread between the tables. The relationship joints are complex. Examples include transaction -focused use cases such as online transactions, accounting

Object oriented database 

These databases emphasize on data, object instead on logic. Object is basic building block for storing information. Different components are:

Jenkins Plugins for Developing the Application

• Object: data elements are stored as objects
• Classes: Blueprint of object
• Methods: Behaviour of class in structured manner.
• Pointers: for finding, accessing and establishing relation between different objects.

Object databases works best with complex data where one object or we say entity have extensive or enormous data associated with it. Day today use cases are:

• Fast data retrieval
• Scientific calculations
• Complex data

Some of the examples of Object databases are DB4o, Objectstore, Matisse.

Non-relational database

Non-relational database also known as NOSQL. These databases are used for distributed and unstructured data. Hence, the name non-relational. Different types can be illustrated as shown is Fig.3.

 Image 3

• Key value: Databases where a key is present for accessing the respective data or value. Used for simple databases where data is not important but speed of access is.
• Column based: Data is stored in columns and single row can be considered as record.
• Graph: Made up of nodes and edges. Nodes acts like entities and data as edges connecting different nodes.
• Document: In this type, document name is key and contents of document are value.

Advantages of different databases

After discussing about major types of databases, it is understood that one or other have advantages or disadvantages over themselves. They are used in accordance with the application depending on their features. 

Relational databases

• They are reliable and ACID compliant: 
• Able to store any data 
• Collective: Multiple users can use database and work on the same.
• Safe and stable

Non -relational database (NoSQL) 

• Works with structured, semi-structured and unstructured data.
• Scalable: extensive data storage capability goes well with on demand servers and provides rapid responses.
• Cloud compatible
• Real time data replication

Application scenario

With upcoming technologies and trends, requirement for a database changes. Whether data is from IOT application, content management system, inventory or transaction information. The type, structure, data model, data store all such factors we take into account for going ahead with databases.

Apart from that considering application requirement like latency, response speed, real time transaction speed can lead as a choice for database.

We already had a look for three major types of databases and their advantages over one another.

In recent times, with web applications becoming more complex and data from IOT becoming part of our daily life, unstructured data is coming in picture. The data we get from web is highly unstructured one. In these modern times, we need to deal with such data. Hence, no relational so-called modern databases are becoming popular. 

Features helping are:

• More flexible and administrative.
• Horizontally scalable and fault tolerant.
• Data distribution over the nodes improving availability

After going through different types of databases we can infer that application requirement decides the effectiveness of a particular database. 

• ACID (atomicity, durability, consistency) compliance requirement is fulfilled by relational databases.
• Extensively distributed system requires non-relational databases.
• Unstructured and non-homogeneous data applications are dealt well with non-relational databases.

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