a Guide to Enterprise Hadoop at Scale Kunigk, Jan creator autor. aut Buss, Ian Wilkinson, Paul George, Lars text 2019 monographic spa eng

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605 páginas. There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Big Data Technology Primer. – Clusters. -- Compute and Storage. – Networking. -- Organizational Challenges. -- Datacenter Considerations. -- Provisioning Clusters. -- Platform Validation. – Security. -- Integration with Identity Management Providers. -- Accessing and Interacting with Clusters. -- High Availability. -- Backup and Disaster Recovery. -- Taking Hadoop to the Cloud. -- Basics of Virtualization for Hadoop. -- Solutions for Private Clouds. -- Automated Provisioning. -- Security in the Cloud. Table of contents. Electronic data processing Distributed processing Procesamiento electrónico de datos Procesamiento distribuido Apache Hadoop File organization Computer science Organización de archivos Informática Arquitectura de Computadores Gestión de base de datos 005.74 K96a 9781491969274 CO-ViULL 230503 20251030135903.0 spa