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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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2 Multiline Commenting Ideas in Python

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Here are two ways you can comment out multiple lines in python.

Python Multiline Comments

These are two popular methods Viz Backslash and Triple quote methods.

1. Backslash method

>>> s = "This is a test of the emergency broadcast system" \
… " and it will display an emergency if you put a line of
text" \
… " that is more than 80 characters on a single line"


>>> print(s)

This is a test of the emergency broadcast system and it will
display an emergency if you put a line of text that is more
than 80 characters on a single line


Split Strings

2. Triple quote method

>>> s1 = """ This is a test of the emergency broadcast
system.
… and it will display an emergency if you put a line of text
… that is more than 80 characters on a single line
… """

>>> print(s1)

This is a test of the emergency broadcast system.
and it will display an emergency if you put a line of text
that is more than 80 characters on a single line


Summary

  • You can use two methods to split the string
  • The Triple quote method is easier to use

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