What are the challenges of implementing Lambda architecture?

What are the challenges of implementing Lambda architecture?

Implementing Lambda architecture can be complex due to its need for both batch and real-time processing. Key challenges include data consistency, system complexity, and the need for skilled personnel.

Can you elaborate on data consistency issues?

Sure! Data consistency issues arise because the batch and real-time layers may process data differently, leading to discrepancies. Ensuring that both layers reflect the same data state can be challenging.

What about the complexity of the system?

The complexity comes from managing multiple components, such as batch processing, speed layer, and serving layer. Each layer requires different technologies and expertise, making maintenance and troubleshooting difficult.

How can organizations overcome these challenges?

Organizations can overcome these challenges by investing in training, using unified data processing frameworks, and implementing robust monitoring tools to ensure data integrity and system performance.