Mastering Data Engineering: Creating Tables in SQL

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In data engineering, one of the fundamental tasks is to prepare tables before diving into basic DML and queries. This process falls under Data Definition Language (DDL). Let’s start by creating a table using the following CREATE TABLE statement:

CREATE TABLE users (
    user_id SERIAL PRIMARY KEY,
    user_first_name VARCHAR(30) NOT NULL,
    user_last_name VARCHAR(30) NOT NULL,
    user_email_id VARCHAR(50) NOT NULL,
    user_email_validated BOOLEAN DEFAULT FALSE,
    user_password VARCHAR(200),
    user_role VARCHAR(1) NOT NULL DEFAULT 'U',
    is_active BOOLEAN DEFAULT FALSE,
    create_ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    last_updated_ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

Once the table is created, it’s a good idea to watch this instructional video to see a practical demonstration.
Watch the video tutorial here


Follow these steps to create the table:

  1. Connect to the database.
  2. Execute the CREATE TABLE statement.

After creating the table, it’s important to validate the objects in the database. You can run queries against the information_schema or use tools like Database Explorer in SQL Workbench or psql.

Check the tables in the database using the following query:

SELECT * FROM information_schema.tables
WHERE table_catalog = 'itversity_sms_db' AND table_schema = 'public'
LIMIT 10;

Validate the columns of the users table with this query:

SELECT * FROM information_schema.columns
WHERE table_name = 'users'
LIMIT 10;

Now that you’ve created and validated the table, it’s time to explore the data. Run the following query to view the data in the users table:

SELECT * FROM users;

Don’t miss out on the opportunity to advance your data engineering skills with labs.itversity.com. Join our community today and unlock a world of possibilities in the realm of Big Data. Start creating tables and mastering SQL with us!