🔌 Data Handling and Advanced Concepts

Data Handling and Advanced Concepts

Here are a few possible interpretations:


In Programming (e.g., Python, JavaScript, etc.):


Data structures (lists, dictionaries, trees, etc.)


File I/O (reading/writing data)


APIs and JSON handling


Advanced topics: concurrency, memory management, serialization


In Data Science / Machine Learning:


Data wrangling and preprocessing


Handling missing values, normalization, feature engineering


Big data tools (Spark, Hadoop)


Advanced modeling concepts (ensemble methods, deep learning, etc.)


In Databases:


SQL and NoSQL data handling


Data modeling and normalization


Transactions, ACID properties


Advanced queries and performance optimization


In Cloud/IoT/Data Pipelines:


Streaming data (Kafka, Flink)


ETL/ELT processes


Data lakes vs. warehouses


Real-time vs. batch processing

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