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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 For Loop increment Tricky Example

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Here's tricky for loop example in Python. The usage of FOR LOOP is to create loops. How many times the loop will execute you may supply in the input. Python for loop example My Project is to get each character from the input String. I have used for loop to achieve this. Let me explain how I did this. Explained Tricky FOR LOOP Examples. 1. Python For Loop Array >> for value in variable Here's an example: >> myName = 'srinimf' >> for value in myName ...        print(value) The result is as follows: s r i n i m f 2. Python For Loop With '1' to '10' or 'n' for ( i = 1 ; i <= 10 ; i ++ ) < loop body > This for loop is useful to create a definite-loop. The maximum number of loops here are '10'. In the body, you need to add Python logic. This is one of the tricky and most popular examples. 3. Python For Loop a Flow Chart Explanation: The 'letter' contains Value The 'state...
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