diff --git a/db.py b/db.py
index f67fb9c..7541b7d 100644
--- a/db.py
+++ b/db.py
@@ -4,23 +4,77 @@
 from mlab_credentials import credentials
 
 '''
-Danh's Notes:
-Give exercises: "How would you query this"
-Skeleton code with commented out full implementation
-'''
+Process:
+Create mlab 
+make a database
+create dbuser
+
+discuss use of system collections
+
+Powerpoint
+- Go over scalability
+- Go over advantages SQL vs No SQL (demo if you are ready)
+- Describe applications of No SQL (Pick a hot topic to grab people attention)
+- Give a brief history of mongodb (if applicable)
 
-class MongoManager:
-    def __init__(self):
-        pass
+Demo
+    Note:  Put fully working implementation above the skeleton code, create a class to manage database, Create some exercises
+
+    -  Demo how to query the data (quick demo on how to use this data would be nice)   (Use filter)
+    -  Demo how to update the data    (Use filter)
+    -  Demo how to delete the data    (Use filter)
+
+'''
 
 if __name__ == "__main__":
-    #uri = "mongodb://{dbuser}:{dbpassword}@ds039007.mlab.com:39007/hack-roles".format(dbuser = credentials["username"], dbpassword = credentials["password"])
-    #client = pymongo.MongoClient(uri)
-    #print(client)
+    uri = "mongodb://{dbuser}:{dbpassword}@ds039007.mlab.com:39007/hack-roles".format(dbuser = credentials["username"], dbpassword = credentials["password"])
+    client = pymongo.MongoClient(uri)
+    db = client["hack-roles"]
+    role_info = db["role-info"]
+
+
+    # *CREATING DOCUMENTS* #
+    # csv_file = open("roles.csv") 
+    # reader = csv.DictReader(csv_file)   # will use the fieldnames in the first row to create dict for each row 
+    # for row in reader:                  # could use insert_many() if you had a multiple dicts in a list
+    #     role_info.insert_one(row)
+
+    # *READING DOCUMENTS* #
+    # filter = {"committees": {"regex": "^c.+"} }
+    # for i in role_info.find(filter):
+    #     print(i)
+    # # find_one is pretty much the same thing, but find the first document with the specifications
 
-    reader = csv.DictReader(["committee", "role", "description", "qualifications", "prompt"])
-    for i in reader:
+    # just shows prompts -> could process the string and get the links and scrape them
+    # for i in role_info.find({}, {"_id": 0, "prompt":1}):
+    #     print(i)
+
+
+    # *UPDATING DOCUMENTS* #
+    role_info.update_one({"committee":"marketing"}, {"$set": {"foo": "bar"}})
+    for i in role_info.find({}):
         print(i)
 
-    #client.close()
+    # *DELETING DOCUMENTS* #
+    role_info.delete_one()
+
+
+    # *SORTING DOCUMENTS* #
+    # for i in role_info.find({}, {"_id": 0, "committee":1}).sort("committee", -1):
+    #     print(i)
+    # for i in role_info.find({}, {"_id": 0, "committee":1}).sort("committee", 1):
+    #     print(i)
+
+    
+    # *Exercises* #
+
+  
+
+    # https://api.mongodb.com/python/current/api/pymongo/collection.html
+    # https://docs.mongodb.com/manual/reference/operator/aggregation/filter/
+    # https://www.w3schools.com/python/python_mongodb_delete.asp
+
+    # role_info.delete_many({}) # deletes all documents 
+    # csv_file.close()
+    client.close()