How do I implement a Lambda architecture in my data processing system?
An example of an AI chatbot conversation about implementing Lambda architecture in data processing.
How do I implement a Lambda architecture in my data processing system?
To implement a Lambda architecture, you need to combine batch processing and real-time processing. Start by defining your data sources.
What technologies should I use for batch and real-time processing?
For batch processing, consider using Apache Hadoop or Spark. For real-time processing, Apache Kafka and Apache Storm are great options.
How do I ensure data consistency between batch and real-time layers?
You can use a serving layer to reconcile data from both batch and real-time sources, ensuring consistency through careful design.
What are some common challenges when implementing Lambda architecture?
Common challenges include managing data consistency, handling schema evolution, and ensuring system scalability.
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