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Database Development Course

Database development course provides basic and advanced concepts of Database. This DBMS Tutorial is designed for beginners and professionals.

Database management system is software that is used to manage the database. Our DBMS Tutorial includes all topics of DBMS such as introduction, ER model, keys, relational model, join operation, SQL, functional dependency, transaction, concurrency control, etc.


What is Database?

The database is a collection of inter-related data which is used to retrieve, insert and delete the data efficiently. It is also used to organize the data in the form of a table, schema, views, and reports, etc.

For example: The college Database organizes the data about the admin, staff, students and faculty etc.

Using the database, you can easily retrieve, insert, and delete the information.

Database Management System

  • Database management system is a software which is used to manage the database. For example: MySQL, Oracle, etc are a very popular commercial database which is used in different applications.
  • DBMS provides an interface to perform various operations like database creation, storing data in it, updating data, creating a table in the database and a lot more.
  • It provides protection and security to the database. In the case of multiple users, it also maintains data consistency.

DBMS allows users the following tasks:

  • Data Definition: It is used for creation, modification, and removal of definition that defines the organization of data in the database.
  • Data Updation: It is used for the insertion, modification, and deletion of the actual data in the database.
  • Data Retrieval: It is used to retrieve the data from the database which can be used by applications for various purposes.
  • User Administration: It is used for registering and monitoring users, maintain data integrity, enforcing data security, dealing with concurrency control, monitoring performance and recovering information corrupted by unexpected failure.

Characteristics of DBMS

  1. It uses a digital repository established on a server to store and manage the information.
  2. It can provide a clear and logical view of the process that manipulates data.
  3. DBMS contains automatic backup and recovery procedures.
  4. It contains ACID properties which maintain data in a healthy state in case of failure.
  5. It can reduce the complex relationship between data.
  6. It is used to support manipulation and processing of data.
  7. It is used to provide security of data.
  8. It can view the database from different viewpoints according to the requirements of the user.

Advantages of DBMS

  • Controls database redundancy: It can control data redundancy because it stores all the data in one single database file and that recorded data is placed in the database.
  • Data sharing: In DBMS, the authorized users of an organization can share the data among multiple users.
  • Easily Maintenance: It can be easily maintainable due to the centralized nature of the database system.
  • Reduce time: It reduces development time and maintenance need.
  • Backup: It provides backup and recovery subsystems which create automatic backup of data from hardware and software failures and restores the data if required.
  • Multiple user interface: It provides different types of user interfaces like graphical user interfaces, application program interfaces

Disadvantages of DBMS

  • Cost of Hardware and Software: It requires a high speed of data processor and large memory size to run DBMS software.
  • Size: It occupies a large space of disks and large memory to run them efficiently.
  • Complexity: Database system creates additional complexity and requirements.
  • Higher impact of failure: Failure is highly impacted the database because in most of the organization, all the data stored in a single database and if the database is damaged due to electric failure or database corruption then the data may be lost forever.

Types of Database

There are various types of databases used for storing different varieties of data:

types of databases Learnerscoach

1) Centralized Database: It is the type of database that stores data at a centralized database system. It comforts the users to access the stored data from different locations through several applications. These applications contain the authentication process to let users access data securely. An example of a Centralized database can be Central Library that carries a central database of each library in a college/university.

Advantages of Centralized Database

  • It has decreased the risk of data management, i.e., manipulation of data will not affect the core data.
  • Data consistency is maintained as it manages data in a central repository.
  • It provides better data quality, which enables organizations to establish data standards.
  • It is less costly because fewer vendors are required to handle the data sets.

Disadvantages of Centralized Database

  • The size of the centralized database is large, which increases the response time for fetching the data.
  • It is not easy to update such an extensive database system.
  • If any server failure occurs, entire data will be lost, which could be a huge loss.

2) Distributed Database: Unlike a centralized database system, in distributed systems, data is distributed among different database systems of an organization. These database systems are connected via communication links. Such links help the end-users to access the data easily. Examples of the Distributed database are Apache Cassandra, HBase, Ignite, etc.

We can further divide a distributed database system into:

distributed DB learnerscoach

  1. Homogeneous DDB: Those database systems which execute on the same operating system and use the same application process and carry the same hardware devices.
  2. Heterogeneous DDB: Those database systems which execute on different operating systems under different application procedures, and carries different hardware devices.

Advantages of Distributed Database

  • Modular development is possible in a distributed database, i.e., the system can be expanded by including new computers and connecting them to the distributed system.
  • One server failure will not affect the entire data set.

3) Relational Database: This database is based on the relational data model, which stores data in the form of rows(tuple) and columns(attributes), and together forms a table(relation). A relational database uses SQL for storing, manipulating, as well as maintaining the data. E.F. Codd invented the database in 1970. Each table in the database carries a key that makes the data unique from others. Examples of Relational databases are MySQL, Microsoft SQL Server, Oracle, etc.

Properties of Relational Database

There are following four commonly known properties of a relational model known as ACID properties, where:

  1. A means Atomicity: This ensures the data operation will complete either with success or with failure. It follows the ‘all or nothing’ strategy. For example, a transaction will either be committed or will abort.
  2. C means Consistency: If we perform any operation over the data, its value before and after the operation should be preserved. For example, the account balance before and after the transaction should be correct, i.e., it should remain conserved.
  3. I means Isolation: There can be concurrent users for accessing data at the same time from the database. Thus, isolation between the data should remain isolated. For example, when multiple transactions occur at the same time, one transaction effects should not be visible to the other transactions in the database.
  4. D means Durability: It ensures that once it completes the operation and commits the data, data changes should remain permanent.

4) NoSQL Database: Non-SQL/Not Only SQL is a type of database that is used for storing a wide range of data sets. It is not a relational database as it stores data not only in tabular form but in several different ways. It came into existence when the demand for building modern applications increased. Thus, NoSQL presented a wide variety of database technologies in response to the demands. We can further divide a NoSQL database into the following four types:

NoSql DB Learnerscoach

  • Key-value storage: It is the simplest type of database storage where it stores every single item as a key (or attribute name) holding its value, together.
  • Document-oriented Database: A type of database used to store data as JSON-like document. It helps developers in storing data by using the same document-model format as used in the application code.
  • Graph Databases: It is used for storing vast amounts of data in a graph-like structure. Most commonly, social networking websites use the graph database.
  • Wide-column stores: It is similar to the data represented in relational databases. Here, data is stored in large columns together, instead of storing in rows.
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Advantages of NoSQL Database

  • It enables good productivity in the application development as it is not required to store data in a structured format.
  • It is a better option for managing and handling large data sets.
  • It provides high scalability.
  • Users can quickly access data from the database through key-value.

5) Cloud Database: A type of database where data is stored in a virtual environment and executes over the cloud computing platform. It provides users with various cloud computing services (SaaS, PaaS, IaaS, etc.) for accessing the database. There are numerous cloud platforms, but the best options are:

6) Object-oriented Databases: The type of database that uses the object-based data model approach for storing data in the database system. The data is represented and stored as objects which are similar to the objects used in the object-oriented programming language.

7) Hierarchical Databases: It is the type of database that stores data in the form of parent-children relationship nodes. Here, it organizes data in a tree-like structure.

hierarchical DB learnerscoach

Data get stored in the form of records that are connected via links. Each child record in the tree will contain only one parent. On the other hand, each parent record can have multiple child records.

8) Network Databases: It is the database that typically follows the network data model. Here, the representation of data is in the form of nodes connected via links between them. Unlike the hierarchical database, it allows each record to have multiple children and parent nodes to form a generalized graph structure.

9) Personal Database: Collecting and storing data on the user’s system defines a Personal Database. This database is basically designed for a single user.

Advantage of Personal Database

  • It is simple and easy to handle.
  • It occupies less storage space as it is small in size.

10) Operational Database: The type of database which creates and updates the database in real-time. It is basically designed for executing and handling the daily data operations in several businesses. For example, An organization uses operational databases for managing per day transactions.

11) Enterprise Database: Large organizations or enterprises use this database for managing a massive amount of data. It helps organizations to increase and improve their efficiency. Such a database allows simultaneous access to users.

Advantages of Enterprise Database:

  • Multi processes are supportable over the Enterprise database.
  • It allows executing parallel queries on the system.

How to Get Started?

Although there are hundreds of database courses out there, very few are on the shortlisted path that you should know, and the ones linked above are in the top list in my opinion as a training provider in ICT field.

If you want to start a career in database design and development, make a lateral move into another field, or advance up the ladder at your current job, learning one of this course is an excellent place to begin your transition. And since the course is designed for all levels of people, you can find the right fit for you.

Once you’ve decided it’s time to learn DBMS, turn to learnerscoach for training. Our content is developed by industry leaders such as Edureka, an emphasis on hands-on learning, and 24×7 support. You’ll learn the course, and then you can land one of those high-paying database jobs!

Happy Learning !!!

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