"Singlestore Database in Practice" is a comprehensive, in-depth guide for data architects, engineers, and database administrators seeking to master the intricacies of Singlestore's distributed SQL platform. The book begins by unpacking the foundational principles behind Singlestore's architecture - from the intricacies of aggregators and leaves to the nuances of storage engines, sharding, and transactional consistency. Through detailed explanations of cloud, on-premises, and hybrid deployments, as well as essential failover and self-healing mechanisms, readers gain both a theoretical and practical understanding of Singlestore's robust, scalable infrastructure.
Moving seamlessly into the hands-on aspects of cluster configuration and scaling, the book offers best practices around infrastructure sizing, automation, and zero-downtime operations. Readers will learn to devise effective schema and data modeling strategies, ensuring high performance and integrity even under demanding OLTP, OLAP, or time-series workloads. Extensive coverage of data pipelines, ETL, and integration is provided, including real-time streaming, bulk ingestion, error handling, and pipeline observability-making this resource invaluable for organizations with complex data movement and integration requirements.
The text dives deeply into query processing, optimization, monitoring, and security, empowering practitioners to streamline workload management, safeguard sensitive data, and plan for resilient, multi-region deployments. Advanced topics such as workload management, backup, disaster recovery, compliance, DevOps automation, and the latest trends in cloud-native and AI-driven analytics are also addressed. "Singlestore Database in Practice" stands as both an authoritative reference and an essential field guide, equipping readers to unlock the full potential of Singlestore at enterprise scale.
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