What are the common pitfalls of lambda architecture?
An example of an AI chatbot conversation about lambda architecture pitfalls.
What are the common pitfalls of lambda architecture?
Some common pitfalls include data duplication, complexity in managing multiple data processing paths, and latency issues.
How can I avoid data duplication in lambda architecture?
To avoid data duplication, ensure proper data governance and use a single source of truth for your data.
What tools can help manage the complexity of lambda architecture?
Tools like Apache Kafka for data streaming and Apache Spark for batch processing can help manage complexity.
Are there any best practices for implementing lambda architecture?
Yes, best practices include clear separation of concerns, thorough testing, and monitoring to ensure system reliability.
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