Introduzione al Data Engineering
Vincent Vankrunkelsven
Data Engineer, DataCamp

Non strutturato
Call me Ishmael. Some years ago, never
mind how long precisely, having little or
no money in my purse, and nothing particular
to interest me on shore, I thought ....
File flat
.tsv o .csv
Year,Make,Model,Price
1997,Ford,E350,3000.00
1999,Chevy,"Venture Extended Edition",4900.00
1999,Chevy,"Venture Extended Edition",5000.00
1996,Jeep,Grand Cherokee,4799.00
numberstringbooleannullarrayobject{
"an_object": {
"nested": [
"one",
"two",
"three",
{
"key": "four"
}
]
}
}
import jsonresult = json.loads('{"key_1": "value_1", "key_2":"value_2"}') print(result["key_1"])
value_1
Richieste

Esempio
{ "login": "datacamp", "type": "Organization", "created_at": "2013-05-14T13:01:20Z" }
import requestsresponse = requests.get("https://hacker-news.firebaseio.com/v0/item/16222426.json") print(response.json())
{'by': 'neis', 'descendants': 0, 'id': 16222426, 'score': 17, 'time': 1516800333, 'title': .... }
Database applicativi
Database analitici
Connection string/URI
postgresql://[user[:password]@][host][:port]
Uso in Python
import sqlalchemy connection_uri = "postgresql://repl:password@localhost:5432/pagila" db_engine = sqlalchemy.create_engine(connection_uri)import pandas as pd pd.read_sql("SELECT * FROM customer", db_engine)
Introduzione al Data Engineering