questioning-the-lambda-architecture.html
questioning-the-lambda-architecture.html
5/25/2015
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summary
In this post, the author discusses the limitations and challenges of the Lambda Architecture, a popular data processing architecture for handling big data. The Lambda Architecture combines batch and real-time processing to achieve scalability and fault-tolerance. The author raises questions about the complexity, operational overhead, and maintenance challenges associated with implementing and maintaining a Lambda Architecture. They also explore alternative architectures, such as the Kappa Architecture, which simplifies the system by relying only on stream processing. Overall, the post encourages readers to critically evaluate the Lambda Architecture and consider alternative approaches to big data processing.
tags
data architecture patterns ꞏ data architecture ꞏ data exploration ꞏ data integrity ꞏ real-time analytics ꞏ data scalability ꞏ data validation ꞏ batch processing ꞏ data-driven decision-making ꞏ stream processing ꞏ big data ꞏ distributed systems ꞏ data warehousing ꞏ fault tolerance ꞏ data systems ꞏ data processing ꞏ data science ꞏ data ingestion ꞏ data consistency ꞏ data storage ꞏ data processing pipeline ꞏ data engineering ꞏ data storage systems ꞏ data pipelines ꞏ data modeling ꞏ data processing framework ꞏ data manipulation ꞏ data analysis ꞏ distributed computing ꞏ data governance ꞏ data visualization ꞏ lambda architecture ꞏ data quality ꞏ data infrastructure ꞏ data streaming ꞏ data transformation ꞏ data management ꞏ data analytics