Protect your Private Data in your Hadoop Clusters with ORC Column Encryption

Protect your Private Data in your Hadoop Clusters with ORC Column Encryption

Wednesday, March 20
11:50 AM - 12:30 PM
Room 127-128

Fine-grained data protection at a column level in data lake environments has become a mandatory requirement to demonstrate compliance with multiple local and international regulations across many industries today. ORC is a self-describing type-aware columnar file format designed for Hadoop workloads that provides optimized streaming reads, but with integrated support for finding required rows quickly. In this talk, we will outline the progress made in Apache community for adding fine-grained column level encryption natively into ORC format that will also provide capabilities to mask or redact data on write while protecting sensitive column metadata such as statistics to avoid information leakage. The column encryption capabilities will be fully compatible with Hadoop Key Management Server (KMS) and use the KMS to manage master keys providing the additional flexibility to use and manage keys per column centrally. An end to end scenario that demonstrates how this capability can be leveraged will be also demonstrated.

SPEAKERS

Owen O'Malley
Co-founder & Technical Fellow
Hortonworks
Owen O'Malley is a co-founder and technical fellow at Hortonworks, a rapidly growing company (25 to 1,000 employees in 5 years), 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 their data analytics. Owen has been working on Hadoop since the beginning of 2006 at Yahoo, was the first committer added to the project, and used Hadoop to set the Gray sort benchmark in 2008 and 2009. In the last 8 years, he has been the architect of MapReduce, Security, and now Hive. Recently he has been driving the development of the ORC file format and adding ACID transactions to Hive. Before working on Hadoop, he worked on Yahoo Search's WebMap project, which was the original motivation for Yahoo to work on Hadoop.  Prior to Yahoo, he wandered between testing (UCI), static analysis (Reasoning), configuration management (Sun), and software model checking (NASA). He received his PhD in Software Engineering from University of California, Irvine.
Srikanth Venkat
Senior Director, Product Management
Hortonworks
Srikanth Venkat is currently responsible for Security & Governance portfolio of products at Hortonworks which include Apache Knox, Apache Ranger, Apache Atlas, Platform wide security and Hortonworks DataPlane Service. Prior to Hortonworks, Srikanth has held multiple roles in areas of cloud services, marketplaces, security, and business applications. His experience includes leadership across Product Management, Strategy and Operations, and Technical Architecture with broad experience in startups to global organizations including Telefonica, Salesforce.com, Cisco-Webex, Proofpoint, Dataguise, Trilogy Software, and Hewlett-Packard. Srikanth holds a PhD in Engineering with a focus on Artificial Intelligence from University of Pittsburgh, and an MBA in General Management from Indiana University and a Masters in Global Management from Thunderbird School of Global Management. Srikanth is a Data Sciences & Machine Learning hobbyist and enjoys tinkering with Big Data technologies.