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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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How to Use For loop List Option Quickly

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For loop is main concept in Python programming. Out of all the For Loop options, the list option is so popular. If you know, how to use this concept, you can write any number of programs quickly and with less effort. Using for loop you can get index for list items. You can print list elements using for loop. If you take any language , the loops play a vital role. How to Use For Loop When you want to deal with data of multiple values, you need loops. So, For Loop is so famous because, you can control multiple input values. Syntax to Write For Loop for i in my_list: print(i) The 'i' says variable that represents value in the 'my_list'. The for helps to iterate the list values one by one. Example Program For Loop List in Python my_list=[2,3,4] for i in my_list: print(i) Result 2 3 4 How to create Multiplication Table using Python For-Loop List O...
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