Designing Data-Intensive Applications appears in 2 book lists

By Martin Kleppmann,

Designing Data-Intensive Applications appears in 2 book lists on Shepherd.

The most practical, hands-on books on DevOps and software delivery

Book cover of Practice of Cloud System Administration, The: DevOps and SRE Practices for Web Services, Volume 2 Book cover of Kubernetes in Action Book cover of Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Book cover of Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation Book cover of Infrastructure as Code: Dynamic Systems for the Cloud Age

The best books about big data processing ecosystem

Book cover of Database Internals: A Deep-Dive Into How Distributed Data Systems Work Book cover of Advanced Analytics with Spark: Patterns for Learning from Data at Scale Book cover of Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale Book cover of Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems Book cover of Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

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Book cover of Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e: Concepts, Tools, and Techniques to Build Intelligent Systems Book cover of Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale Book cover of Advanced Analytics with Spark: Patterns for Learning from Data at Scale Book cover of Database Internals: A Deep-Dive Into How Distributed Data Systems Work Book cover of Kubernetes in Action Book cover of Infrastructure as Code: Dynamic Systems for the Cloud Age

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