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Tuesday, May 10

10:00am PDT

Protecting Enterprise Data in Hadoop - Owen O'Malley, Hortonworks
Hadoop has long had strong authentication via integration with Kerberos,
authorization via User/Group/Other HDFS permissions, and auditing via
the audit log. Recent developments in Hadoop have added HDFS file access
control lists, pluggable encryption key provider APIs, HDFS snapshots,
and HDFS encryption zones. These features combine to give important new
data protection features that every company should be using to protect
their data. This talk will cover what the new features are
and when and how to use them in enterprise production environments.
Upcoming features including columnar encryption in the ORC columnar format
will also be covered. By encrypting particular columns, enterprises can
control which users have access to particularly sensitive columns that
contain personally identifiable information or financial information.

avatar for Owen O’Malley

Owen O’Malley

Co-founder & Sr Architect, Hortonworks
Owen O’Malley is a co-founder and architect at Hortonworks, which develops the completely open source Hortonworks Data Platform (HDP). HDP includes Hadoop and the large ecosystem of big data tools that enterprises need for data analytics. Owen has been working on Hadoop since 2006... Read More →

Tuesday May 10, 2016 10:00am - 10:50am PDT
Regency E

2:00pm PDT

Apache Kerby for Big Data Security - Kai Zheng, Intel
Big Data platform based on Apache Hadoop presents numerous security, compliance, and integration challenges in both enterprise and Internet domains. This session will present a new, comprehensive authentication solution through using Apache Kerby in Hadoop, allowing everyone can be connected everywhere in the ecosystem, in a low-risk yet secure manner, as incurred in and benefit from Kerberos. Apache Kerby is a sub-project to the Apache Directory since Jan 2015. It is an implementation of Kerberos in Java and will provide rich, intuitive and interoperable library and facilities that integrate multiple authentication mechanisms including PKINIT, OTP and token (OAuth2.0). We will introduce and discuss the solution, state of community development, highlighted features, and roadmap. We will also show the demo and explain how Kerby’s embedded nature can be leveraged in Hadoop.


Kai Zheng

Kai is a senior software engineering in Intel that works in big data and security fields for quite a few of years. He is a key Apache Kerby initiator, Directory PMC member and Apache Hadoop committer.

Tuesday May 10, 2016 2:00pm - 2:50pm PDT
Regency E