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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...

Python How to Create Function

In Python, you can define and call the function. Once done, you can call it later from the other program. I have shared the structure of it. And, I have added the three rules of it; useful for interviews.

Structure of Function



How to Understand Python Function Quickly
Structure of Function


Rules to Create a Function


  1. A function definition is executable.
  2. The body will have the code to perform the task you wish.
  3. You can assign default parameter values.

1. Key Elements.

You will find here three key elements of the Python function. Here you can read the parameter vs argument differences.

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Name of a function. It can be any valid identifier. It should be meaningful, and it should convey the work it will do.

Parameter. These should be separated with command and should be in the parentheses following the name of the function. The parameters are input to function. It can have any parameters.

Body of the function. The function body can contain code that implements the task to be performed by it.

2. Sample Function.

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Python Example.

def product(num1, num2): 
# defined function name of product with two input parameters. 
# And this 'def' ends with ':' colon.


prod= num1*num2 
# multiplying two numbers num1 and num2 and assign to prod

print('The product of the numbers is \t:'+str(prod))
# prints product of two numbers

num1=int(input('Enter the first number\t:')) 
num2=int(input('Enter the second number\t:'))
return prod
# returns prod value to the calling program.

3. How to call a function.

Relax

myProduct = product(num1, num2)
# supply two arguments to the product function.

print(myProduct)
#The product function prints the product of two numbers.


References

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