Isbn: 9798292691792 - learn apache kafka: stream real-time data with high performance: 6 (10 risultati)

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Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: new. Paperback. LEARN APACHE KAFKA Stream Real-Time Data with High PerformanceThis book is designed for students and professionals seeking to master Apache Kafka in corporate environments, data engineering, DevOps, technical squads, and large-scale data streaming projects. With a practical approach and validated examples, you will learn how to configure clusters, operate distributed pipelines, implement resilient producers and consumers, orchestrate integrations with SQL and NoSQL databases, and manage critical data flows with high availability, security, and performance.The content covers professional installation, message production and consumption, partition tuning, automation with Docker and Kubernetes, integration with PostgreSQL, MongoDB, Spark, advanced monitoring with Prometheus and Grafana, as well as security with SSL, ACLs, and authentication. It includes techniques for topic modeling, replication, offset management, CDC with Debezium, Schema Registry usage, CI/CD deployments, troubleshooting, observability strategies, automation, and governance.Includes: - Professional installation and operation of Kafka clusters- Integration with PostgreSQL, MongoDB, Spark, ELK, Jenkins- Topic modeling, partition tuning, and replication- Security with SSL, ACLs, authentication, and authorization- Monitoring and metrics with Prometheus, Grafana, JMX- CDC, Schema Registry, CI/CD pipelines, and cloud-native automation- Error resolution, troubleshooting, and best practicesMaster Apache Kafka and lead the development of data pipelines, integration automation, event-driven solutions, distributed architecture, and critical real-time projects.kafka, distributed messaging, devops, data streaming, clusters, producers, consumers, ci/cd, kubernetes, systems integration, monitoring, security, cloud, ruby, go, python This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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Paperback. Condizione: new. Paperback. LEARN APACHE KAFKA Stream Real-Time Data with High PerformanceThis book is designed for students and professionals seeking to master Apache Kafka in corporate environments, data engineering, DevOps, technical squads, and large-scale data streaming projects. With a practical approach and validated examples, you will learn how to configure clusters, operate distributed pipelines, implement resilient producers and consumers, orchestrate integrations with SQL and NoSQL databases, and manage critical data flows with high availability, security, and performance.The content covers professional installation, message production and consumption, partition tuning, automation with Docker and Kubernetes, integration with PostgreSQL, MongoDB, Spark, advanced monitoring with Prometheus and Grafana, as well as security with SSL, ACLs, and authentication. It includes techniques for topic modeling, replication, offset management, CDC with Debezium, Schema Registry usage, CI/CD deployments, troubleshooting, observability strategies, automation, and governance.Includes: - Professional installation and operation of Kafka clusters- Integration with PostgreSQL, MongoDB, Spark, ELK, Jenkins- Topic modeling, partition tuning, and replication- Security with SSL, ACLs, authentication, and authorization- Monitoring and metrics with Prometheus, Grafana, JMX- CDC, Schema Registry, CI/CD pipelines, and cloud-native automation- Error resolution, troubleshooting, and best practicesMaster Apache Kafka and lead the development of data pipelines, integration automation, event-driven solutions, distributed architecture, and critical real-time projects.kafka, distributed messaging, devops, data streaming, clusters, producers, consumers, ci/cd, kubernetes, systems integration, monitoring, security, cloud, ruby, go, python This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …