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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 Write Lambda Function Quickly in Python: 5 Examples

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Here are the top python lambda function examples for your project and interviews. "Python's lambda functions are a powerful way to create small, anonymous functions on the fly. In this post, we'll explore some examples of how to use lambda functions in Python. 5 Best Python Lambda Function Examples #1 Sorting a List of Tuples by the Second Element This lambda function sorts a list of tuples based on the second element of each tuple. python code my_list = [(1, 2), (4, 1), (9, 10), (13, 6), (5, 7)] sorted_list = sorted(my_list, key=lambda x: x[1]) print(sorted_list) Output: [(4, 1), (1, 2), (13, 6), (5, 7), (9, 10)] ** Process exited - Return Code: 0 ** Press Enter to exit terminal #2 Finding the Maximum Value in a List of Dictionaries This lambda function finds the maximum value in a list of dictionaries based on a specific key. python code my_list = [{'name': 'Alice', 'age': 25}, {'name': 'Bob', 'age': 30}, {'name': ...
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