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Deepika Sahu answered on February 12, 2021 Popularity 10/10 Helpfulness 1/10

answer Nginx

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Nginx

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Something like APache or IIS in windows.

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Contributed on Dec 17 2022

Deepika Sahu

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111

hmm yes very good reverse proxy

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Contributed on Feb 12 2021

Itchy Ibex

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nginx

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$ sudo apt-get install nginx

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Source: medium.com

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Contributed on May 12 2022

Brainy Butterfly

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nginx

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Nginx && Docker

docker run -d -t -p 80:80 --name web nginx:latest 
docker exec -it web

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Contributed on Oct 13 2021

Magnificent Monkey Adi

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nginx

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app.use((err, req, res, next) => {
  console.error(err.stack)
  res.status(500).send('Something broke!')
})

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Source: expressjs.com

Tags: express

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Contributed on Jul 06 2022

khaled elsayed

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snowflake etl

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# On snowflake, you use ELT instead of ETL
# First you extract data, then you load the data on snowflake, and finally do Transformation inside snowflake

# install necessary packages: pip install snowflake-connector-python pandas
import snowflake.connector


# EXTRACT : Use pd.read_csv, pd.read_parquet, pd.read_json
df = .....

# LOAD : Load the data from your PC (eg: your desktop RDBMS like postgreSQL) to Snowflake account
from sqlalchemy import create_engine

def snowflake_engine(username, password, account_url, warehouse_name, db_name, schema_name):
    engine = create_engine(URL('snowflake',
                                user = username,
                                password = password,
                                account = account_url,
                                warehouse = warehouse_name,
                                database = db_name,
                                schema = schema_name))
    return engine

engine = snowflake_engine('USERNAME', 'PASSWORD', 'ACCOUNTURL', 'WAREHOUSE', 'DATABASE', 'SCHEMA') # Create the engine
df.to_sql('table_name', con=engine, index=False, if_exists='append') # Use the engine to load data into Snowflake

# TRANSFORM : Perform Transformation on warehouse

def warehouse_connection(username, password, account_url, warehouse_name, db_name, schema_name):
    connection = snowflake.connector.connect(
        user = username,
        password = password,
        account = account_url,
        warehouse = warehouse_name,
        database = db_name,
        schema = schema_name
    return connection
)

con = warehouse_connection('USERNAME', 'PASSWORD', 'ACCOUNTURL', 'WAREHOUSE', 'DATABASE', 'SCHEMA') # Establish a connection to the Snowflake data warehouse

def transform(query, connnection=con):
    connnection.cursor().execute(query)


my_query = """
CREATE OR REPLACE TABLE transformed_data AS
SELECT column1, SUM(column2) 
FROM raw_data 
GROUP BY column1;
"""
transform(my_query)

Popularity 8/10 Helpfulness 1/10 Language python

Source: dev.to

Tags: etl whatever whatev

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Contributed on Oct 02 2024

Innocent Iguana

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Nginx

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