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What is a relational database?

relational database (RDB) is a collective set of multiple data sets organized by tablesrecords and columns. RDBs establish a well-defined relationship between database tables. Tables communicate and share information, which facilitates data searchability, organization and reporting.

RDBs use Structured Query Language (SQL), which is a standard user application that provides an easy programming interface for database interaction.

Relational databases are based on the relational modelan intuitive, straightforward way of representing data in tables. In a relational database, each row in the table is a record with a unique ID called the key. The columns of the table hold attributes of the data, and each record usually has a value for each attribute, making it easy to establish the relationships among data points.

Benefits of Relational Databases:

  • Data Consistency
  • Commitment and Atomicity
  • Stored Procedures and Relational Databases
  • Database Locking and Concurrency

Relational Database Terms

Below are the unique terms and specific definitions that will help you understand what a RDB can do and how it works:

Row : A set of data constituting a single item.

For example, the data for a single employee (e.g. first name, last name, employee ID, hire date, work location, etc.) of a company would be displayed in a row. A row can also be called a record, an entity, or a tuple.

Column: Labels for elements of rows. A column gives context to the information contained in rows. For an employee database, the column headers could be the items listed above for employees. A column is also known as an attribute or a field.

Table: A group of rows that match the parameters set up for the table. The data in a table must all be related. An employee database may have separate tables for active employees, retired employees, and former employees. A table is also known as a relation or base revelar.

View: A set of data based on a query via the RDBMS; also known as result set or derived revelar.

Domain: The set of possible values for a given column. For example, the phone number and ZIP code columns would be numbers, while first and last names would be limited to letters.

Constraint: A narrowing of a domain. For example, the domain of the work location on a employee record would be alphanumeric, but it could be restricted to a predefined list rather than being a free-form field. The phone number field would be constrained to 10 digits.

Primary key: The unique identifier of a row in a table.

Foreign key: The unique identifier of a row in another table.

Distributed Database: A database that stores data in multiple locations, rather than on a single hard drive or server.

TYPES OF DATABASE RELATIONSHIPS

The power of a relational database is in the links and relations. By connecting rows in different tables through the use of primary and foreign keys, you can create views, reports, and other slices of information to serve your organization. There are three primary types of database relationships:

One-to-One: One row in one table is connected to one and only one row in another table. For example, a Social Security number is linked to a single employee.

One-to-Many: One row in one table is connected to zero, one, or more than one rows in another table. For example, one work location can be linked to many employees.

Many-to-Many: Zero, one, or many rows in one table are linked to zero, one, or many rows in another table. For example, multiple employees can be assigned to multiple projects.

What is Power BI ?

Kindly refer the below video on What is Power BI and it’s uses.

Power BI is a business analytics service by Microsoft. It is a cloud-based, elegant end-to-end business analytics tool that enables anyone to visualize, analyze, forecast any type of data with greater speed, efficiency, and understanding.

Power BI provides cloud-based BI services, known as “Power BI Services“, along with a desktop based interface, called “Power BI Desktop”. It offers data warehouse capabilities including data preparation, data discovery and interactive dashboards. Microsoft released an additional service called Power BI Embedded on its Azure cloud platform. One main differentiator of the product is the ability to load custom visualizations.

Key components:

Power BI Desktop : The Windows-desktop-based application for PCs and desktops, primarily for designing and publishing reports to the Service.

Power BI Service : The SaaS (software as a service) based online service (formerly known as Power BI for Office 365, now referred to as PowerBI.com or simply Power BI).

Power BI Mobile Apps : The Power BI Mobile apps for Android and iOS devices, as well as for Windows phones and tablets.

Power BI Gateway : Gateways used to sync external data in and out of Power BI. In Enterprise mode, can also be used by Flows and PowerApps in Office 365.

Power BI Embedded : Power BI REST API can be used to build dashboards and reports into the custom applications that serves Power BI users, as well as non-Power BI users.

Power BI Report Server : An On-Premises Power BI Reporting solution for companies that won’t or can’t store data in the cloud-based Power BI Service.

Power BI Visuals Marketplace : A marketplace of custom visuals and R-powered visuals

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SQL LIKE Operator

The LIKE operator is used to list all rows in a table whose column values match a specified pattern. It is useful when you want to search rows to match a specific pattern, or when you do not know the entire value. For this purpose we use a wildcard character ‘%’.

For example: To select all the students whose name begins with ‘S’

SELECT first_name, last_name
FROM student_details
WHERE first_name LIKE ‘S%’;

The output would be similar to:

first_name          last_name
————-          ————-
Stephen                 Fleming
Shekar                   Gowda

The above select statement searches for all the rows where the first letter of the column first_name is ‘S’ and rest of the letters in the name can be any character.

Date data types

DATE() A date. Format: YYYY-MM-DD

Note: The supported range is from ‘1000-01-01’ to ‘9999-12-31’

DATETIME() A date and time combination. Format: YYYY-MM-DD HH:MI:SS

Note: The supported range is from ‘1000-01-01 00:00:00’ to ‘9999-12-31 23:59:59’

TIMESTAMP() A timestamp. TIMESTAMP values are stored as the number of seconds since the Unix epoch (‘1970-01-01 00:00:00’ UTC). Format: YYYY-MM-DD HH:MI:SS

Note: The supported range is from ‘1970-01-01 00:00:01’ UTC to ‘2038-01-09 03:14:07’

TIME() A time. Format: HH:MI:SS

Note: The supported range is from ‘-838:59:59’ to ‘838:59:59’

YEAR() A year in two-digit or four-digit format.

Note: Values allowed in four-digit format: 1901 to 2155. Values allowed in two-digit format: 70 to 69, representing years from 1970 to 2069

How to delete a record in a table using SQL?

The SQL DELETE Query is used to delete the existing records from a table.

You can use WHERE clause with DELETE query to delete selected rows, otherwise all the records would be deleted.

Syntax:
The basic syntax of DELETE query with WHERE clause is as follows:

DELETE FROM table_name
WHERE [condition];

Example:
Consider the CUSTOMERS table having the following records:
+—-+———-+—–+———–+———-+
| ID | NAME | AGE | ADDRESS | SALARY |
+—-+———-+—–+———–+———-+
| 1 | Ramesh | 32 | Ahmedabad | 2000.00 |
| 2 | Khilan | 25 | Delhi | 1500.00 |
| 3 | kaushik | 23 | Kota | 2000.00 |
| 4 | Chaitali | 25 | Mumbai | 6500.00 |
| 5 | Hardik | 27 | Bhopal | 8500.00 |
| 6 | Komal | 22 | MP | 4500.00 |
| 7 | Muffy | 24 | Indore | 10000.00 |

Following is an example, which would DELETE a customer, whose ID is 6:

DELETE FROM CUSTOMERS
WHERE ID = 6;

If you want to DELETE all the records from CUSTOMERS table, you do not need to use WHERE clause and DELETE query would be as follows:

DELETE FROM CUSTOMERS;

SQL School: Best Trainers for Microsoft SQL Server Technologies

SQL School: Best Trainers for Microsoft SQL Server Technologies

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SQL School: Best Trainers for Microsoft SQL Server Technologies

Best Trainers for Microsoft SQL Server Technologies

 

SQL School: Best Trainers for Microsoft SQL Server Technologies 

 

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SQL School (Regd: SequelGate Innovative Technologies Pvt. Ltd.) is strongly committed to provide complete real-time and practical training exclusively on Microsoft SQL Server and Datawarehousing technologies. SQL School Training Institute established in February, 2008 is now one of the best training institute offering SQL Server and T-SQL (SQL Server) Training, SQL Database Administration (SQL DBA) Training and Business Intelligence (MSBI / SQL BI) Training.

 

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