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+1 Employees:
+
+ List all the employees. -> db.employees.find()
+ Find the employee with whose name is Steve. -> db.employees.find({name: "Steve"})
+ Find all employees whose age is greater than 30. -> db.employees.find({age: {$gt: 30}})
+ Find the employee whose extension is 2143. -> db.employees.find({"phone.ext": "2143"})
+ Find all employees that are over 30. -> db.employees.find({age: {$gt: 30}})
+ Find all employees that are less than or equal to 30. -> db.employees.fin({ age : { $lte: 30 }})
+ Find all the employees whose favorite food is pizza. -> db.employees.find({"favorites.food": "pizza"})
+ Change Willy’s personal phone number to "93-123-45-67". -> db.employees.find({ name: "willy" }, { $set { "phone.personal": "93-123-45-67" } })
+ Change Bob’s privilege to normal user. -> db.employees.find({ name: "Bob" }, { $set { privileges: "user" } })
+ Find all employees whose favorite artist is equal to Picasso. -> db.employees.find({"favorites.artist": "Picasso"})
+ Delete the user John. -> db.employees.deleteOne({ name: "John" })
+
+
+2 Restaurants:
+
+List all the restaurants. -> db.restaurants.find()
+Find all the restaurants and display only the fields restaurant_id, name, borough and cuisine. -> db.restaurants.find( {}, {name: 1, borough: 1, cuisine: 1} )
+Find all the restaurants and display only the fields restaurant_id, name, borough and zip code. -> db.restaurants.find( {}, {name: 1, borough: 1, "address.zipcode": 1} )
+Find the restaurants which are in the borough Bronx. -> db.restaurants.find( {}, {name: 1, borough: 1, "address.zipcode": 1} )
+Find the restaurants which are in the borough Brooklyn with Steak cuisine. -> db.restaurants.find({ $and: [ { borough: "Brooklyn" }, { cuisine: "Steak" }] })
+Find the restaurants which have achieved a score bigger than 90. -> db.restaurants.find({"grades.score": {$gt: 90}})
+Find the restaurants that do not prepare any Bakery cuisine and with a grade score equal or bigger than 70. -> db.restaurants.find({ $and: [{"cuisine": {$ne: "Bakery"}}, {"grades.score": {$gte: 70}}]})
+Find the restaurants which do not prepare any Chinese cuisine and have achieved a grade point A which do not belong to the borough Manhattan. -> db.restaurants.find({ $and: [{"cuisine": {$ne: "Chinese"}}, {"grades.grade": "A"}, {"borough": {$ne: "Manhattan"}}]})
+Update restaurants with 'American ' cuisine to 'American' (without the space!!!) -> db.restaurants.updateMany({ name: 'Martin' }, { $set: { 'phone.ext': 1234 } })
+Update Morris Park Bake Shop address street to Calle falsa 123. -> db.employees.updateOne({ name: 'Morris Park Bake Shop' }, { $set: { 'address.street': 'Calle falsa 123' } })
+Delete all the restaurants with address zipcode 10466. -> db.deleteMany({"address.zipcode": '10466'})
+
+3 Companies:
+
+Find all the companies that include 'Facebook' on the name field. -> db.companies.find({"name":{$regex:"Facebook"}})
+Find all the companies which category_code is 'web'. Retrive only their name field: -> db.companies.find( {'category_code': 'web'}, {name: 1, _id: 0} )
+Find all the companies named "Twitter", and retrieve only their name, category_code and founded_year fields. -> db.companies.find( {name: 'Twitter'}, {name: 1, _id: 0, 'category_code': 1, 'founded_year': 1} )
+Find all the companies who have web as their category_code, but limit the search to 50 companies. -> db.companies.find({'category_code': 'web'}).limit(50)
+Find all the companies which category_code is 'enterprise' and have been founded in 2005. Retrieve only the name, category_code and founded_year fields. db.companies.find({ $and: [ {'category_code': 'enterprise'}, {'founded_year': 2005}]}, {name: 1, _id: 0, 'category_code': 1, 'founded_year': 1})
+Find all the companies that have been founded on the 2000 or have 20 employees. Sort them descendingly by their number_of_employees. -> db.companies.find({$or: [{"founded_year": 2000}, {"number_of_employees": 20}]}).sort(descending("number_of_employees")) 
+Find all the companies that do not include web nor social on their category_code. Limit the search to 20 documents and retrieve only their name and category_code. -> db.companies.find({$and: [{"category_code": {$ne: "web"}}, {"category_code": {$ne: "social"}}]}, {name: 1, category_code: 1}).limit(20)
+Find all the companies that were not founded on 'June'. Skip the first 50 results and retrieve only the founded_month and name fields. -> db.companies.find({"founded_month": {$ne: 6}}, {founded_month: 1, name: 1}).skip(50)
+Find all the companies that have 50 employees, but do not correspond to the 'web' category_code. -> db.companies.find({$and:[{category_code:{$ne:"web"}},{number_of_employees:50}]})
+Find all the companies that have been founded on the 1st of the month, but does not have either 50 employees nor 'web' as their category_code. Retrieve only the founded_day and name and limit the search to 5 documents. -> db.companies.find({$and: [{"founded_day": 1}, {"number_of_employees": {$lt: 50}}, {"category_code": {$ne: "web"}}]}, {founded_day: 1, name: 1}).limit(5)
+Find all the companies which the price_amount of the acquisition was 40.000.000. Sort them by name. -> db.companies.find({"acquisition.price_amount": 40000000}).sort("name")
+Find all the companies that have been acquired on January of 2014. Retrieve only the acquisition and name fields. -> db.companies.find({$and: [{"acquired_month": 1},{"acquired_year": 2014}]}, {_id: 0, acquisition: 1, name: 1})