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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 Interface Vs. Class: What's the Difference

Here are the differences between Class and Interface in Python.

Python interface


Python class can have all concrete methods. But interface does not have single concrete method.


Here you'll know about

  • What's abstract method
  • Abstract Class: How to Create it
  • Rules to Write an Interface
  • How to Create Abstract Class
  • How to Create an Interface


What's abstract method

The abstrcat method is one which does not have body.

from abc import ABC, abstract method
class name_class(ABC): # abstract class

@abstractmethod
def name_method(self): #abstract method without body
pass


The interface is used when all the features are needed to be implemented differently for different objects.

Rules to Write an Interface

  1. All methods of an interface should be abstract.
  2. You cannot create an interface object.
  3. If any class implements an interface, then you need to define all the methods given in that interface in child class.
  4. You need to declare all methods as abstract if that class does not implement the interface

How to Create Abstract Class


from abc import ABC, abstractmethod
class Myengineer(ABC):
@abstractmethod
def mybranch(self):
pass
myobj = Myengineer()


Output

TypeError: Can’t instantiate abstract class Myengineer
with abstract methods mybranch


How to Create an Interface

You cannot create an object from an abstract class. But you can do it by creating a child class.


from abc import ABC, abstractmethod

#Abstract class

class Myengineer(ABC):
@abstractmethod
def mybranch(self):
pass

#Child class implements abstract class

class MyEEE(Myengineer):
def mybranch(self):
print(“I am an electrical and electronics Engineer”)
myobj = MyEEE()
myobj.mybranch()

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