Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Schedule: Platform Security and Cybersecurity sessions

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9:0012:30 Tuesday, 23 May 2017
Location: Capital Suite 2/3
Level: Intermediate
Mark Donsky (Cloudera), Andre Araujo (Cloudera), Mubashir Kazia (Cloudera), Syed Rafice (Cloudera)
Average rating: ***..
(3.50, 4 ratings)
Mark Donsky, André Araujo, Syed Rafice, and Mubashir Kazia walk you through securing a Hadoop cluster. You’ll start with a cluster with no security and then add security features related to authentication, authorization, encryption of data at rest, encryption of data in transit, and complete data governance. Read more.
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14:5515:35 Wednesday, 24 May 2017
Location: Capital Suite 14
Level: Non-technical
Yves-Alexandre de Montjoye (Imperial College London | MIT Media Lab)
Average rating: ****.
(4.00, 1 rating)
Yves-Alexandre de Montjoye shows how metadata can work as a fingerprint to identify people in a large-scale metadata database even though no “private” information was ever collected, shares a formula that can be used to estimate the privacy of a dataset if you know its spatial and temporal resolution, and offers an overview of OPAL, a project that enables safe big data use using modern CS tools. Read more.
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11:1511:55 Thursday, 25 May 2017
Location: Capital Suite 14
Level: Intermediate
Eric Tilenius (BlueTalon)
Average rating: ***..
(3.00, 4 ratings)
Many businesses will have to address EU GDPR as they deploy big data projects. This is an opportunity to rethink data security and deploy a flexible policy framework adapted to big data and regulations. Eric Tilenius explains how consistent visibility and control at a granular level across data domains can address both security and GDPR compliance. Read more.
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12:0512:45 Thursday, 25 May 2017
Location: Capital Suite 14
Level: Intermediate
Eddie Garcia (Cloudera)
Average rating: ****.
(4.00, 4 ratings)
The use of big data and machine learning to detect and predict security threats is a growing trend, with interest from financial institutions, telecommunications providers, healthcare companies, and governments alike. Eddie Garcia explores how companies are using Apache Hadoop-based approaches to protect their organizations and explains how Apache Spot is tackling this challenge head-on. Read more.
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14:0514:45 Thursday, 25 May 2017
Location: Capital Suite 14
Level: Intermediate
Haifeng Chen (Intel)
Average rating: ****.
(4.00, 2 ratings)
As the processing capability of the modern platforms come to memory speed, securing big data using encryption usually hurts performance. Haifeng Chen shares proven ways to speed up data encryption in Hadoop and Spark, as well as the latest progress in open source, and demystifies using hardware acceleration technology to protect your data. Read more.
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14:5515:35 Thursday, 25 May 2017
Location: Capital Suite 14
Level: Advanced
Graham Ahearne (Corvil), Fergal Toomey (Corvil)
Fergal Toomey and Graham Ahearne outline the challenges facing network security in complex industries, sharing key lessons learned from their experiences safeguarding electronic trading environments to demonstrate the utility of machine learning and machine time network data analytics. Read more.
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16:3517:15 Thursday, 25 May 2017
Location: Capital Suite 14
Level: Intermediate
Average rating: ****.
(4.00, 1 rating)
Brendan Rizzo explains how data encryption and tokenization can help you protect your Hadoop environment and outlines options for securing data and speeding Hadoop implementation, drawing on recent deployments in pharma, health insurance, retail, and telecoms to illustrate the impact to operations and other areas of the business. Read more.