How can I build scalable data systems using Python?
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How can I build scalable data systems using Python?
To build scalable data systems in Python, you can use frameworks like Apache Kafka for streaming data and Flask or FastAPI for building APIs.
What libraries should I consider for data processing?
You should consider using Pandas for data manipulation, Dask for parallel computing, and PySpark for big data processing.
How do I ensure my system can handle large volumes of data?
You can ensure scalability by implementing load balancing, using distributed databases like Cassandra, and optimizing your data pipelines.
Can you give me an example of a scalable architecture?
A common architecture includes a message broker (like Kafka), a data processing layer (using Spark), and a storage layer (like AWS S3 or a NoSQL database).
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