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+#1
+use sakila;
+show tables;
+
+#2  Retrieve all the data from the tables actor, film and customer.
+
+SELECT *FROM actor;
+SELECT *FROM film;
+SELECT *FROM customer;
+
+#3 Retrieve the following columns from their respective tables:
+SELECT title  FROM film;
+SELECT name AS language  FROM language;
+SELECT first_name FROM staff;
+
+#4 Retrieve unique release years.
+SELECT DISTINCT release_year FROM film;
+
+# 5 Counting records for database insights:
+SELECT COUNT(store_id) AS number_of_stores FROM store;
+SELECT COUNT(staff_id) AS number_of_employees FROM staff;
+
+SELECT COUNT(film_id) AS total_films_in_inventory FROM inventory;
+SELECT COUNT(inventory_id) AS total_rental_transactions FROM rental;
+
+SELECT COUNT(DISTINCT last_name) AS unique_name FROM actor;
+
+# 6 Retrieve the 10 longest films.
+
+SELECT title, length AS duration_in_minutes FROM film ORDER BY length DESC LIMIT 10;
+
+#7 Use filtering techniques in order to
+
+SELECT actor_id, first_name, last_name, last_update FROM actor WHERE first_name = 'SCARLETT';
+
+# Bonus
+SELECT title, length FROM film WHERE title LIKE '%ARMAGEDDON%' AND length > 100;
+