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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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5 Top Code Format Tools

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I have given in this post the list of code formatting tools. These are useful to write better code.

5 Top Code Format Tools
  1. SQL Formatter - This tool helps you format your SQL Queries instantly.
  2. Java Code format Tool - This tool is one of the best tool to format your JAVA code instantly.
  3. Python Code Format Tool - This tool is famous Python online code format tool.
  4. CSS Code format Tool - The best tool to format your CSS code so nicely
  5. JavaScript Code Format Tool - This is one of the best tool to format your JavaScript code

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