Ben Spivey

Hadoop Security (eBook, PDF)

Protecting Your Big Data Platform

• Format: PDF

Produktbeschreibung

As more corporations turn to Hadoop to store and process their most valuable data, the risk of a potential breach of those systems increases exponentially. This practical book not only shows Hadoop administrators and security architects how to protect Hadoop data from unauthorized access, it also shows how to limit the ability of an attacker to corrupt or modify data in the event of a security breach.Authors Ben Spivey and Joey Echeverria provide in-depth information about the security features available in Hadoop, and organize them according to common computer security concepts. Youll also get real-world examples that demonstrate how you can apply these concepts to your use cases.Understand the challenges of securing distributed systems, particularly HadoopUse best practices for preparing Hadoop cluster hardware as securely as possibleGet an overview of the Kerberos network authentication protocolDelve into authorization and accounting principles as they apply to HadoopLearn how to use mechanisms to protect data in a Hadoop cluster, both in transit and at restIntegrate Hadoop data ingest into enterprise-wide security architectureEnsure that security architecture reaches all the way to end-user access

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 340
• Erscheinungstermin: 29. Juni 2015
• Englisch
• ISBN-13: 9781491900963
• Artikelnr.: 43589104

Autorenporträt

Ben is currently a Solutions Architect at Cloudera. During his time with Cloudera, he has worked in a consulting capacity to assist customers with their Hadoop deployments. Ben has worked with many Fortune 500 companies across multiple industries, including financial services, retail, and health care. His primary expertise is the planning, installation, configuration, and securing of customers' Hadoop clusters. In addition to consulting responsibilities, Ben contributes a vast amount of technical writing on customer document deliverables, to include Hadoop best practices, security integration, and cluster administration. Prior to Cloudera, Ben worked for the National Security Agency and with a defense contractor as a software engineer. During this time, Ben built applications that, among other things, integrated with enterprise security infrastructure to protect sensitive information. Ben holds a Bachelor's degree in Computer Science and a Master's degree in Information Technology, with a focus on Information Assurance. Ben's final Master's project was focused on designing an enterprise IT infrastructure with a defense-in-depth approach. Joey Echeverria is a Software Engineer at ScalingData where he builds the next generation of IT Operations Analytics on the Apache Hadoop platform. Joey is also a committer on the Kite SDK, an Apache-licensed data API for the Hadoop ecosystem. Joey was previously a Software Engineer at Cloudera where he contributed to a number of ASF projects including Apache Flume, Apache Sqoop, Apache Hadoop, and Apache HBase. While at Cloudera, Joey also served as the Director of Federal FieldTechnical Services, overseeing the public sector Professional Servicesand Systems Engineering teams. Joey started at Cloudera as a SolutionsArchitect, where he helped customers to design, develop, and deployproduction Hadoop applications and clusters. When needed, he has also filled in for Cloudera's support and training teams and has taughtCloudera's administrator and Apache HBase courses. Joey's background is in building and deploying secure data processing applications, with the last 7 years focused on Hadoop-based applications. In the past, he has worked on resource constrained data processing, a clustered implementation of the Snort intrusiondetection system, and he built a distributed index system on Hadoopwhen he worked for NSA.