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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...
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Python Abstract Classes to Learn Quickly

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Here's the best example of how to understand the abstract classes of python quickly. An abstract class means it is a skeleton. You cannot instantiate abstract classes.

For Example:

The abstract class name is 'dog'

o = dog()

It gives an error. Since the 'dog' is an abstract class.

I am sharing with you a clear understanding of abstract class. So that you can tell confidently about these classes.

Here is the beautiful answer with syntax and examples of the Python abstract class.


The syntax for Abstract Class


from abc, import ABC, abstractmethod 
class <class name>(ABC):
@abstractmethod 
def <method name>(): 
#abstract class definition

Python Abstract Class Explanation


from abc import ABC, abstractmethod
class AbsBaseClass(ABC):
def __init__(self):
print("Abstract class")
@abstractmethod
def abMeth(self):
pass
def conMeth(self):
print("I'm a concrete method")
class Derived(AbsBaseClass):
def abMeth(self):
print("I'm redefined")
o=Derived()
o.abMeth()
o.conMeth()




References

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