Architecting Modern Data Platforms (1 ed)

There’s no shortage of information about big data technologies, but integrating these technologies into a complete, end-to-end enterprise data platform remains a complex challenge that is rarely addressed in practical terms. This book provides a hands-on guide to building big data infrastructure—both on-premises and in the cloud—and shows you how to architect a modern, scalable data platform that meets enterprise needs.

Ideal for enterprise architects, IT managers, application architects, and data engineers, this book teaches you how to navigate the many challenges that arise in Hadoop projects. It begins with a comprehensive technical primer on the vast ecosystem of tools in the Hadoop and big data space, before diving into the key areas:

Infrastructure: Examine every layer of a modern data platform, from individual servers to entire data centers, establishing a solid foundation for managing enterprise data.

Platform: Gain in-depth knowledge of deployment, operations, security, high availability, and disaster recovery, along with everything you need to seamlessly integrate your platform with the rest of your enterprise IT environment.

Taking Hadoop to the Cloud: Learn the critical architectural considerations for running a big data platform in the cloud while maintaining enterprise-level security and high availability, ensuring stable and secure performance at scale.