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
lambda architecture ꞏ big data ꞏ data processing ꞏ data analysis ꞏ data architecture ꞏ real-time analytics ꞏ batch processing ꞏ stream processing ꞏ data pipelines ꞏ distributed computing ꞏ data engineering ꞏ data storage ꞏ data scalability ꞏ data integrity ꞏ data consistency ꞏ fault tolerance ꞏ data ingestion ꞏ data transformation ꞏ data validation ꞏ data quality ꞏ data streaming ꞏ data warehousing ꞏ data modeling ꞏ data governance ꞏ data management ꞏ data infrastructure ꞏ data analytics ꞏ data exploration ꞏ data visualization ꞏ data manipulation ꞏ data science ꞏ data-driven decision-making ꞏ data systems ꞏ data processing framework ꞏ data processing pipeline ꞏ data storage systems ꞏ distributed systems ꞏ data architecture patterns