

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.
Meer over de auteursHadoop Security
Protecting Your Big Data Platform
Samenvatting
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. You’ll 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 Hadoop
- Use best practices for preparing Hadoop cluster hardware as securely as possible
- Get an overview of the Kerberos network authentication protocol
- Delve into authorization and accounting principles as they apply to Hadoop
- Learn how to use mechanisms to protect data in a Hadoop cluster, both in transit and at rest
- Integrate Hadoop data ingest into enterprise-wide security architecture
- Ensure that security architecture reaches all the way to end-user access
Specificaties
Over Joey Echeverria
Inhoudsopgave
Part 1: Security Architecture
2. Securing Distributed Systems
3. System Architecture
4. Kerberos
Part 2: Authentication, Authorization, and Accounting
5. Identity and Authentication
6. Authorization
7. Apache Sentry (Incubating)
8. Accounting
Part 3: Data Security
9. Data Protection
10. Securing Data Ingest
11. Data Extraction and Client Access Security
12. Cloudera Hue
Part 4: Putting It All Together
13. Case Studies
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