Database Design Courses

Getting one of the most popular relational database management systems is easy. Just follow the given installation steps to get started with MySQL!

Steep 1. Go to the official MySQL website and download the community server edition of the software.

Step 2- Choose your operating system and download the relevant setup from the given options. Unzip the downloaded setup and double-click the MSI installer .exe file. Wait for the process to end until the next wizard appears.

Step 3- As the process ends, choose the Setup Type and select the Full Type before proceeding ahead and clicking the Next button. This step will enable the installation of features such as MySQL server, MySQL Router, MySQL Shell, MySQL Connectors, MySQL Workbench and more.

Step 4- The next step will assess your system for the lack of requirements. If your system lacks a few features, press the Execute button to get those automatically. You can also choose to Skip to deal with it later. Press Next to proceed.

Step 5- If you’re skipping installing certain features on the system, click Yes on the next wizard informing you of the missing requirements. The page with features needed to be installed will open up as you proceed. Press Execute to download the features. After installing the features, click on Next.

Step 6- Next step would require the user to configure the server and router. Click on the Next button. On the next page, choose Standalone MySQL Server/ Classic MySQL Replication or InnoDB Cluster according to your requirements.

Step 7- Complete the Config Type and Connectivity options on the next page by choosing Config Type as ‘Development Machine’, Connectivity as TCP/IP and Port number 3306. Click Next and select your preferred authentication method.

Step 8- Create a MySQL Root Password and click the Next button. Configure the Window service in the next step to start the server. Keep the default setup and click on Next.

Step 9- Apply the Server Configuration as your choice and click Execute. As the configuration completes, click on the Finish button.

Step 10- As the Product Configuration appears completed, maintain the default setting and click on the Next -> Finish button to complete package installation.

Step 11- You can choose to configure the routerin the next wizard. Click on Next-> Finish and then the Next button. As you see the Connect to Server option, mention your Root Password from before. Click on Check if your connection is successful, and then click Next.

Step 12- Next, select applied configuration and click on Execute. Click on the Finish button on the next page.

MySQL installation is complete as you click on the Finish button

MySQL comprises a list of basic commands to assist database design development and management for smooth performance. Here’s a list of basic MySQL commands.

SELECT: The option extracts the data required from the database to show it in the results.

UPDATE: The option records new data in a table.

CREATE: The option creates a table in the database. Users can specify names and columns in the table.

INSERT: The option assists in inserting data into the containing database tables.

ALTER: Alter allows changing the structure of any table by adding or removing columns.

DELETE: Delete option enables users to delete the containing records in the database.

These are the basic commands of MySQL. Other than the fundamentals, commands like DROP, CHECK, FROM, WHERE, HAVING, GROUP BY, AVG(), ORDER BY, AS, LEFT JOIN, INNER JOIN, COUNT, FULL OUTER JOIN, and LIKE are a few other commands significant to operate on database.

DDL or Data Definition Language statements is a set of SQL statements that deal with entire database schemas rather than individual rows or tables to specify how data must reside within the database. The comprising elements of this language include Create, Alter, Truncate, Drop, Rename, and Comment, regulating the logical structures of the database. These elements help create and manage a table or row in the MySQL database design process. DDL is known to be about ‘Metadata’.

DML or Data Manipulation Language statements manage data within schema objects by manipulating and modifying data. It does not manipulate database objects or schema but the containing information. Hence, it comprises the most common SQL statements such as Update, Select, Insert, Merge, Delete, Explain Plan, Call, and Lock Table. Users can insert, alter, remove or further manipulate data using the features under the DML subset statements of SQL

DCL or Data Control Language statements work with the database system's rights, controls, and other permissions. DCL regulates database transactions concerning security concerns. The DCL statements in MySQL comprise commands such as Grant and Revoke. These commands regulate access to the database and enable the user to grant or revoke access per the requirements.

These SQL statements are the key to delivering valid commands to the database system to process requests and redeem required results. DDL, DML, and DCL are a few of the many subgroups of SQL in MySQL. These include Transaction Control Statements, Session Control Statements, System Control Statements and Embedded SQL Statements.

An introduction to database design in MySQL is incomplete without learning the basic terms of MySQL. Take a look at these basic terminologies to get started with MySQL!

• Database- Refers to a collection of data curated in tabled format.

• Table- Refers to a specific set of rows and columns containing information. This table follows a simple spreadsheet-like format.

• Row- A row, also known as entry, tuple or record, is a group of relevant data related to each other.

• Column- Refers to a data element containing the same data.

• Primary Key- A primary key holds a unique value which cannot occur twice in the database. Users can easily find their relevant content table with just one primary key, appearing only once in a table.

• Foreign Key- Foreign key works as a linking pin between two tables.

• Unique Key- A combination of one or more columns, a unique key can uniquely identify a row from the table. Unique keys cannot occur twice in the table, excluding rows with a null value in key columns. Though, a table can have more than one unique key.

• Compound Key- A compound or composite key comprises multiple columns as a single column lacks uniqueness. A compound key can also be perceived as similar to a unique key but with more columns.

• Index- Index refers to a physical data structure of a database similar to the ones present in the book that help find certain information from the enormous database.

• Referential Integrity- Referential integrity refers to and manages the relationship between data across multiple tables. This feature ensures that the value of that foreign key always points towards a present row.
• Defining a Database

After knowing what databases are, how they are designed and what platform they use to manage data, it is time to unreel how databases are structured.

Following the steps of database designing mentioned above, blueprints are created to follow the database model and include the objective features to optimise the structure. In order to create a systematic database, tables are introduced in the model. These tables contain several columns and rows to separate, containing information systematically, based on their relationship. A spreadsheet is a great example of understanding the tabled structure of a database. A list of data can be converted into tables using introducing different fields in separate tables.

For example, to insert name, last name, age and marks obtained by a student, you might want to get these fields into separate tables. Tables are divided into rows and columns where rows contain the data record and columns include data relevant to the field in rows.

Each column type gets relevant data types assigned to maintain consistency. Some of them are-

• FLOAT: Contains floating-point numbers
• CHAR: Contains a specified length of texts
• TEXT: Contains lengthy texts
• VARCHAR: Contains texts of variable lengths
• INT: Contains negative or positive whole numbers
• BLOB: Contains binary data
• AUTONUMBER: The data type automatically generates a unique number for every column

Each table gets specified primary keys, which work as database attributes working as a unique identifier for the entered data, so picking information from the database is not a trouble in future. Primary keys are required to be unchanging and unique so finding information is always simple.

While creating a database, users must use SQL's logical and physical data structures in MySQL. Test and run assessments before deploying the database to comprehend its efficiency, quality and performance level.

Relationships

Relationships in database design with MySQL refer to the relation between tables. Users comprehend the cardinality of comprising data to gauge database efficiency. Cardinality refers to the qualities exhibited by two interacting elements from different tables. Each entity within a table has a potential relationship with other containing elements.

Let’s explore these different types of relationships within databases that enable relational database management systems to design systematic databases.

One-to-One Relationship

In a relationship where there is one instance of entity A for every instance of entity B, the entities are said to have a one-to-one relationship.

One-to-Many Relationship

A one-to-many relationship appears when multiple entities in table B are associated with the record in table A.

Many-to-Many Relationship

Many-to-many relationships establish when various entities in table A are associated with several entities in table B.

Normalisation

Normalisation is a significant step in database designing, referring to an efficient process of organising data within a database. Normalisation rules are applied to a database design model to check its performance and inconsistent points for rectification. The process assists in database designing, followed by a set of rules to maintain data security and ensure inconsistent dependency and redundancy reduction as much as possible.However, not every database design requires normalisation. Online Transaction Processing databases usually require normalisation where users are concerned with creating, modifying, and removing records.

On the other hand, Online Analytical Processing databases work better with a level of denormalisation with the databases emphasising processing speed over other aspects.

Key and Indexes

Key and indexes are two different structures in database management systems used to identify required data from the database on the results page. Both work towards a similar objective but widely differ in terms of operation and process.

Keys are logical structures comprising a set of attributes with unique values to identify records and deliver results. Keys are the unique identifier of rows in a table containing data that occurs only once throughout the database. Keys contain a unique value for every tuple, making it super effective to seek out information. Examples of keys include Primary Key, Unique Key, Foreign Key, and Compound Key.

On the other hand, indexes refer to physical data structures that work as a performance optimisation feature to access data quickly to deliver search results. Appropriate usage of indexes can enhance query performance. Unlike keys, indexes accept null values and do not require to be unique. Examples of indexes include Full-text Index, Unique Index and Descending Index.

What is Database Normalisation?

It is the process of organising data in a database. That helps in creating tables and relationships establishment between the mentioned tables according to the designed rules that protects the data. This technique reduces the data redundancy along with the removal of undesirable characteristics such as, insertion, update and deletion anomalies. It helps in dividing the larger tables into smaller tables that are linked using the relationships.

The reorganisation of database content through normalisation prepares the database design to perform more analysis and queries. Besides structuring data into a comprehensible format for easy retrieval, normalisation has various other benefits to assist database design towards achieving efficiency. Here are some of those.

• Reduces redundant data within the database
• Consistent tables within the database
• Improved security for containing data
• Enhanced efficiency with a flexible database design
• Swift execution and result delivery
• A systematic organisation in database design

As organisations are seeking stronger alternatives to deal with enormous data for reaping valuable insights, MySQL can assist businesses with various features to develop systematic databases for easy data retrieval.

As mentioned above, not every data structure demands normalisation. Hence normalisation is divided into three parts with varying levels of rules to assist relevant database structures.

1NF is the first and foundational form of normalisation that specifies a group must not contain two identical values. Tables are eligible to be under the 1NF following several rules that include-

• Every cell must have a single value
• Every cell record must be unique

Second Normal Form (2NF)

The second normal form specifies that data subsets can be put into multiple rows are placed in separate tables. In order to be eligible for 2NF, tables must satisfy these rules-

• The primary key must not be functionally dependent on any subset of a candidate key
• The table must be 1F

Third Normal Form (3NF)

The third normal form mandates that non-key columns must be independent of other columns. A change of value in column A must not affect column B. In order to gain eligibility under 3NF, tables must follow these set of rules-

• Must be a part of 2F
• Do not have any transitive functional dependencies

Boyce-Codd Normal Form (BCNF)

Also known as 3.5NF, Boyce-Codd normal form is an updated version of 3NF that does not contain various overlapping candidate keys. For any table to become a part of BCNF, it must follow the given set of rules-

• Must be 3NF eligible
• ( X → Y ), X should be a super key for every functional dependency

Fourth Normal Form (4NF)

The fourth normal form is the highest database normalisation form, where no trivial multivalued dependencies exist except a candidate key. A table eligible for 4NF would be-

• Must follow the Boyce-Codd normal form
• The table must not have any multivalued dependencies

As the data science market continues to experience a surge of data, the field fo data science expands, demanding more skilful individuals to take lucrative offers in exchange for their technical prowess. Fortunately, database designing study resources are now widely available for aspiring candidates hoping to make a career in data science with database designing. The availability of online study material makes learning a lot more convenient than the offline method. Imagine bagging exciting career opportunities studying right from teh comfort of your home. Now, you don’t have to imagine it as leading education portals like upGrad extend flexible online learning programs to create data science leaders with extensive skillsets

upGrad offers online Data Science Programs in collaboration with top universities worldwide to prepare aspiring candidates for the dynamic data science industry. With a successful learning web comprising over 40,000+ learners worldwide, the program intends to expand relevant tech skills among the new generations to future-proof their careers and stay relevant in the market for a long time. Online courses extended on the platform are cost-effective, consume less time, and expose learners to exciting opportunities, making online database design learning far better than offline learning.

A database design course syllabus consists of industry-relevant topics and goes through a revision every year to keep up with the changing trends. Here is what a database design course syllabus consists of!

• Introduction to databases and database design
• Fundamentals concepts of database design
• Relationships
• Keys
• Introduction to the relational model and modelling
• Fundamentals of database normalisation
• Functional dependencies
• Structured query language
• Joines
• Outer joins
• Case Studies
• Resource

With the global database management system market growing at a CAGR of 12.4%, it is estimated to reach $125.6 billion by 2026, advancing further towards expansive growth for candidates working in the data management industry. Database design, being an imperative part of the market, is bound to receive benefits in terms of lucrative opportunities and open roles in leading corporations. Data science industry jobs leading the global top jobs list, narrate its current success, while the future looks equally positive as technological evolution is nowhere near a halt. Data design’s crucial role in keeping up with data influx will lead it to redeem significant benefits.

The tech sector’s vast reach and lucrative opportunities are not unknown to people. Following its evident expansion and estimated growth of the database software market alone to reach $189,209.2 million by 2030, it fuels tech aspirants to seek opportunities in the relevant field. Perceiving the current and future scenarios, learners are equipping themselves with the industry-relevant skill set, hoping to future-proof their career.

India alone serves countless study resources online to keep up with the accelerating demands of database design courses, preparing young minds for a dynamic industry. The numbers speak for database design’s potential to participate as a leading job role in the future. Hence, the accelerated growth of database design courses in India is pretty understandable.

Database design is a relatively new career for the Indian tech market. However, its eventual growth with rapid digitisation in India leads aspirants to inspect opportunities and prepare to bag exciting opportunities under its wing. For now, a significant gap persists in organisations hoping to obtain experienced and skilled individuals for the role, and as a result, making it a highly lucrative career in the region.

Statistics claim database design specialists’ salaries in India can range from 2.6 Lakhs to 26.5 lakhs per annum, with an average salary of around 12 lakhs.

Database design specialists’ salary in India or any other region depends on several factors that may add to or take away a significant value from the role, depending on its influence on working conditions, performance and environment. These factors include

• Experience: The most apparent influencing factor on database design salary is the candidate’s working experience. Your previous work can speak of your worth, which people usually comprehend with your resume. The better and longer your experience in the industry is, the better opportunities you receive.

• Region: Regional changes influence the salary of a database designer as living conditions, environment, and available opportunities directly impact a candidate’s performance.

• Delivered engagement: The delivered performance decides for your frequent raises and hikes in your salary only if the said performance is exceptional. Great corporate performance effectively works like a magnet to attract great salary options.

• Place of work: The company you work for also decides your database design salary to lie in the higher or lower hemispheres.

As a database design specialist, you must have at least two years of experience to bag any such opportunities. The better your experience and resume, the better your chances of receiving higher pay.