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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: Store Multiple Values in a Variable

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In Python, you can assign values to the variables. This post tells you how to assign values to multiple variables. It is common assigning values in any programming language. But Python simplifies your job by introducing this technic. Here is  Python For Loop Tricky Example . Python Assigning the Values At once. a = 1 b = 1 c = 1 d = 1 or, you can assign simultaneously as; a=b=c=d=1 Python Assigning Multiple Values at Once The other way you can assign as; a, b, c, d = 10, 1, 3.5, 'Srini' From the above, you can understand as below: The '10' assigns to a. The '1' assigns to b. The '3.5' assigns to  c. Then 'Srini' to d.  References Python Basics Variable Assignment
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