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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 Supports These 5 Native Data types

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Python supports five native data types. The Data types are such that a Programmer can use to write the logic and get the output. Many beginners may not aware of native data types. So I am adding a short note on that here. Native means as is Python supported data types.


Python Five Key Native Data Types
Python Five Key Native Data Types

Python Native Data Types

In Python, you can find five types of native data types. Here is a quick list for you. Those are Number, String, List, Tuple, Set, and Dictionary.


1. Number

For all the numeric values,  you can use this data type.


2. String

It handles all Characters, Special-symbols, and Alphanumeric values.


3. List

It is something like sequential data. A program can do Sort, Merge, etc. on this data.


4. Tuple

Data is a little different from the List.


5. Set

This kind of Data-type helps you to do set operations. Those are like Intersection, Difference, etc.


6. Dictionary

Here, the Dictionary something like a group of List kinds of data. But, each value has a key associated with it.


References

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