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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 Syntax Errors Cheat Sheet

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Here's is the Python syntax errors cheat sheet. In Python, you can avoid errors, if you know syntax rules. These are missing semicolons, adding extra commas, and extra spaces. Further Python is case sensitive. So using the wrong identifier also will give error. Python Syntax Errors Cheat Sheet Indentation is unique to Python. You cannot find strict indentation in any other programming language. You need to focus on the three areas while writing a Python program. To avoid errors you need to learn indentation rules. Indentation or Syntax Errors Exceptions Handling Exceptions 1: Indentation If you do not follow the proper order, you will get an error. The details of one block shroud follow in one vertical line. The sub-block should be inside of that. In if loop, the IF, ELIF, and ELSE should have the same indentation. Not only, but the statement inside of them should also have the same indentation. Best Examples Understand these examples a good material on indentation for you. 2...
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