Introduction to Data Engineering
Vincent Vankrunkelsven
Data Engineer, DataCamp

Unstructured
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 ....
Flat files
.tsv or .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
Requests

Example
{ "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': .... }
Applications databases
Analytical databases
Connection string/URI
postgresql://[user[:password]@][host][:port]
Use 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)
Introduction to Data Engineering