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Security data lakehouse and modular design | Rippling

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In addressing the requirements and challenges of SIEM solutions, we drew inspiration from data engineering best practices, particularly the use of data lake and warehouses. This led us to the concept of a security data lakehouse, a data lakehouse tailored specifically for security needs. Our approach was further informed by our data engineering team's use of the Snowflake platform for business analytics and data initiatives. But before we dive into the details, let's explore the term data lakehouse and how it differs from security data lakehouse. A data lakehouse is a centralized storage repository that can store both structured and unstructured data at almost any scale. It enables storing data as-is and supports various types of analytics—from data extraction and visualizations to big data processing and machine learning. A security data lakehouse is essentially a specialized variant of a data lakehouse focused on storing and managing security-related data. It centralizes data from di

Security data lakehouse and modular design Blog Engineering a SIEM part 2: Rippling’s security data lakehouse and modular design Author Piotr Szwajkowski Read time 17 MIN Updated Apr 11, 2024 In this article What is a security data lakehouse, and how does it differ from a data lakehouse? Log ingestion architecture Data lakehouse transformation Resilience and high availability Cost analysis Conclusion In this article What is a security data lakehouse, and how does it differ from a data lakehouse? Log ingestion architecture Data lakehouse transformation Resilience and high availability Cost anal

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