Creating Snowflake SnowPipe using Azure: Effortless Real-time Data Ingestion

[@ashok6644]

good one

[@dataworldsolution]

Thanks

[@mohammedvahid5099]

Amazing pls work on more azure to and also how to SCD TYPE 1 AND SCD 2 TWO ALSO BRO
AFTR FINISHING STREAMS AND TASKS..AND I WANT TO SEE HOW U WORK ON QUERY OPTIMIZATION FOR QUERY PERFORMANCE TUNING UR SCENARIO BRO...THNKS UR WORKING AMAZING BRO

[@dataworldsolution]

Thanks bro

[@mohammedvahid5099]

BRO PLEASE PROVIDE orders dataset csv FILE for practice....where u get that csv file pleas give the link bro

[@dataworldsolution]

drive.google.com/drive/folders/1E0rGggx27gZdcfLeR0g5zpP1JqaSbli-?usp=sharing

[@dataworldsolution]

# python scripts to generate dataset
--------------------------------------------------------
import random
import csv
# Define the categories and subcategories
categories = ["Electronics", "Books", "Clothing"]
electronics_subcategories = ["Laptops", "Headphones", "Smartphones", "Accessories"]
books_subcategories = ["Fiction", "Non-Fiction", "Science"]
clothing_subcategories = ["T-Shirts", "Jeans", "Hoodies"]
# Function to generate random data for a row
def generate_row():
order_id = "ORD" + str(random.randint(1, 10000)).zfill(4)
amount = random.randint(50, 500)
profit = int(amount * random.uniform(0.1, 0.3))
quantity = random.randint(1, 5)
category = random.choice(categories)
if category == "Electronics":
subcategory = random.choice(electronics_subcategories)
elif category == "Books":
subcategory = random.choice(books_subcategories)
else:
subcategory = random.choice(clothing_subcategories)
return [order_id, amount, profit, quantity, category, subcategory]
# Generate 1000 rows of data
rows = []
for _ in range(25):
rows.append(generate_row())
# Write the data to a CSV file
with open("OrdersAzuredataset2.csv", "w", newline="") as csvfile:
writer = csv.writer(csvfile)
writer.writerow(["ORDER_ID", "AMOUNT", "PROFIT", "QUANTITY", "CATEGORY", "SUBCATEGORY"])
writer.writerows(rows)
print("Dataset created successfully!")