Lambda architecture
Lambda architecture is a data-processing architecture designed to handle large volumes of data by combining batch and real-time processing. It consists of three main layers: the **batch layer**, which processes large datasets periodically to generate comprehensive views; the **speed layer**, which handles real-time data to provide immediate insights; and the **serving layer**, which merges the outputs from both layers to deliver a unified view. This architecture ensures that data can be analyzed quickly and accurately, accommodating both up-to-the-minute information and historical insights.
Additional Insights
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Lambda Architecture is a data-processing framework designed to handle large volumes of data efficiently and reliably. It combines two main processes: the "batch layer," which processes and stores massive amounts of historical data in a comprehensive way, and the "speed layer," which quickly processes real-time data to provide immediate insights. This dual approach allows organizations to benefit from both the accuracy of thorough data analysis and the immediacy of real-time processing. Ultimately, it helps in making informed decisions based on both historical trends and current events.