SELECT Statement

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Do curso por IBM

Databases and SQL for Data Science

42 ratings

IBM

Databases and SQL for Data Science

42 ratings

Curso 4 de 4 em Specialization Introduction to Data Science

SQL is a powerful language which is used for communicating with databases. Before you step into the field of data science, it is vitally important that you set yourself apart by mastering the foundations of SQL. The purpose of this course is to introduce relational database concepts and help you learn and apply knowledge of the SQL language. Learners will also practice building and running SQL queries hands-on using a cloud-based environment as well as learn how to access databases from Jupyter notebooks using Python. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.

Na lição

Week 1 - Introduction to Databases and Basic SQL

In Week 1 you will be introduced to databases. You will create a database instance on the cloud. You will learn some of the basic SQL statements. You will also write and practice basic SQL hands-on on a live database.

CREATE Table Statement2:51

SELECT Statement3:36

INSERT Statement2:36

UPDATE and DELETE Statements3:12

Conheça os instrutores

Rav Ahuja
Data Science Program Manager
IBM Cognitive Class
Hima Vasudevan
Data Scientist
IBM Digital Business Group

Hello and welcome to retrieving data with a SELECT statement.

In this video, we will learn about retrieving data from

a relational database table by selecting columns of a table.

At the end of this lesson,

you will be able to retrieve data from a relational database table,

to find the use of a predicate,

identify the syntax of the SELECT statement using the WHERE clause and

list the comparison operators supported by a relational database management system.

The main purpose of a database management system,

is not just to store the data but also facilitate retrieval of the data.

So, after creating a relational database table and inserting data into the table,

we want to see the data.

To see the data, we use the SELECT statement.

The SELECT statement is a data manipulation language statement.

Data Manipulation Language statements or DML statements are used to read and modify data.

The SELECT statement is called a query,

and the output we get from executing this query is called a result set or a result table.

In its simplest form, a SELECT statement is select star from table name.

Based on the book entity example,

we would create the table using

the entity name book and the entity attributes as the columns of the table.

The data would be added to the book table by adding

rows to the table using the insert statement.

In the book entity example select star from book gives the result set of four rows.

All the data rows for all columns in the table book are displayed.

In addition, you can also retrieve all the rows for all columns by

specifying the column names individually in the SELECT statement.

You don't always have to retrieve all the columns in a table.

You can retrieve just a subset of columns.

If you want, you can retrieve just two columns from the table book.

For example book_id and title.

In this case, the select statement is select book_id, title from book.

In this case, only the two columns display for each of the four rows.

Also notice that the order of the columns displayed

always matches the order in the SELECT statement.

However, what if we want to know the title of the book whose book_id is B1.

Relational operation helps us in restricting

the result set by allowing us to use the clause WHERE.

The WHERE clause always requires a predicate.

A predicate is conditioned evaluates to true, false or unknown.

Predicates are used in the search condition of the WHERE clause.

So, if we need to know the title of the book whose book_id is B1,

we use the WHERE clause with the predicate book_id equals B1.

Select book_id title from book where book_id equals B1.

Notice the result set is now restricted to

just one row whose condition evaluates to true.

The previous example used comparison operator equal to in the WHERE clause.

There are other comparison operators supported by

a relational database management system; equal to,

greater than, less than,

greater than or equal to,

less than or equal to and not equal to.

Now you can retrieve data and select columns from a relational database table,

define the use of a predicate,

identify the syntax of the SELECT statement using the WHERE clause and

list the comparison operators supported by a relational database management system.

Thanks for watching this video.

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