Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Schedule: Security and Privacy sessions

9:00–12:30 Tuesday, 22 May 2018
General Data Protection Regulation (GDPR) tutorial and ePrivacy introduction
Law, ethics, and governance, Strata Business Summit
 Location: Capital Suite 9 Level: Non-technical
Aurélie Pols (Mind Your Privacy)
Average rating: *****
(5.00, 1 rating)
Aurélie Pols walks you through a "5+5 pillars" framework for GDPR readiness, explaining what the GDPR means to data-fueled businesses. You'll learn how to attribute responsibility to assure compliance and build toward ethical data practices, minimizing risk for your company while fostering trust with your clients. Read more.
9:00–17:00 Tuesday, 22 May 2018
Findata Day
Location: Capital Suite 4
Paul Lashmet (Arcadia Data), Anthony Culligan (SETL), Konrad Sippel (Deutsche Börse), Paul Lynn (Nordea), Mikheil Nadareishvili (TBC Bank), Olaf Hein (ORDIX AG), Robert Passarella (Alpha Features), Louise Beaumont (Publicis Groupe | techUK | NPSO), Alistair Croll (Solve For Interesting), Robert Passarella (Alpha Features), Christina Erlwein-Sayer (OptiRisk Systems), Angelique Mohring (GainX), Saeed Amen (Cuemacro), Gisele Frederick (Zingr.io)
From analyzing risk and detecting fraud to predicting payments and improving customer experience, take a deep dive into the ways data technologies are transforming the financial industry. Read more.
13:30–17:00 Tuesday, 22 May 2018
Securing and governing hybrid, cloud, and on-premises big data deployments, step by step
Law, ethics, and governance, Platform security and cybersecurity
 Location: Capital Suite 15 Level: Intermediate
Mark Donsky (Okera), Steffen Maerkl (Cloudera), Andre Araujo (Cloudera)
Hybrid big data deployments present significant new security risks. Security admins must ensure a consistently secured and governed experience for end users and administrators across multiple workloads. Mark Donsky, Steffen Maerkl, and André Araujo share best practices for meeting these challenges as they walk you through securing a Hadoop cluster. Read more.
11:15–11:55 Wednesday, 23 May 2018
Executive Briefing: GDPR—Getting your data ready for heavy, new EU privacy regulations
Executive Briefing, Law, ethics, and governance, Strata Business Summit
 Location: Capital Suite 17 Level: Intermediate
Mark Donsky (Okera), Syed Rafice (Cloudera)
Average rating: ****.
(4.00, 1 rating)
In May 2018, the General Data Protection Regulation (GDPR) goes into effect for firms doing business in the EU, but many companies aren't prepared for the strict regulation or fines for noncompliance (up to €20 million or 4% of global annual revenue). Mark Donsky and Syed Rafice outline the capabilities your data environment needs to simplify compliance with GDPR and future regulations. Read more.
11:15–11:55 Wednesday, 23 May 2018
How will the GDPR impact machine learning?
Data science and machine learning, Law, ethics, and governance
 Location: Capital Suite 12 Level: Non-technical
Steven Touw (Immuta)
Average rating: ****.
(4.25, 4 ratings)
The Strata Data conference in London takes place during one of the most important weeks in the history of data regulation, as GDPR begins to be enforced. Steve Touw explores the effects of the GDPR on deploying machine learning models in the EU. Read more.
11:15–11:55 Wednesday, 23 May 2018
Architecting data platforms for cybersecurity
Data engineering and architecture
 Location: Capital Suite 7 Level: Intermediate
Charaka Goonatilake (Panaseer)
Average rating: ****.
(4.50, 2 ratings)
Data is becoming a crucial weapon to secure an organization against cyber threats. Charaka Goonatilake shares strategies for designing effective data platforms for cybersecurity using big data technologies, such as Spark and Hadoop, and explains how these platforms are being used in real-world examples of data-driven security. Read more.
11:15–11:55 Wednesday, 23 May 2018
Finding bias in social media recommendations
Data science and machine learning, Law, ethics, and governance
 Location: Capital Suite 14
Guillaume Chaslot (AlgoTransparency)
Average rating: ****.
(4.17, 6 ratings)
An increasing number of ex-Google and ex-Facebook employees state that social media is starting to control us rather than the other way around. How can we determine if social media is a pure reflection of people's interests or if it pushes us toward specific narratives? Guillaume Chaslot explores methodologies to find out which narratives are favored by social media recommendation engines. Read more.
12:05–12:45 Wednesday, 23 May 2018
Hadoop under attack: Securing data in a banking domain
Data engineering and architecture, Law, ethics, and governance, Platform security and cybersecurity
 Location: Capital Suite 7 Level: Intermediate
Federico Leven (ReactoData)
Average rating: **...
(2.67, 3 ratings)
The apparent difficulty of managing Hadoop compared to more traditional and proprietary data products makes some companies wary of the Hadoop ecosystem, but managing security is becoming more accessible in the Hadoop space, particularly in the Cloudera stack. Federico Leven offers an overview of an end-to-end security deployment on Hadoop and the data and security governance policies implemented. Read more.
12:05–12:45 Wednesday, 23 May 2018
Fairness and diversity in online social systems
Data science and machine learning
 Location: Capital Suite 12
Elisa Celis (EPFL)
Average rating: ****.
(4.25, 4 ratings)
There is a pressing need to design new algorithms that are socially responsible in how they learn and socially optimal in the manner in which they use information. Elisa Celis explores the emergence of bias in algorithmic decision making and presents first steps toward developing a systematic framework to control biases in classical problems, such as data summarization and personalization. Read more.
14:05–14:45 Wednesday, 23 May 2018
Real-time deep learning on video streams
Data science and machine learning, Streaming systems and real-time applications
 Location: Capital Suite 13 Level: Intermediate
eran avidan (Intel)
Average rating: ****.
(4.50, 2 ratings)
Deep learning is revolutionizing many domains within computer vision, but doing real-time analysis is challenging. Eran Avidan offers an overview of a novel architecture based on Redis, Docker, and TensorFlow that enables real-time analysis of high-resolution streaming video. Read more.
14:05–14:45 Wednesday, 23 May 2018
GPU-accelerated threat detection with GOAI
Big data and data science in the cloud, Data engineering and architecture, Data-driven business management, Emerging technologies and case studies, Platform security and cybersecurity, Streaming systems and real-time applications
 Location: Capital Suite 7 Level: Intermediate
Joshua Patterson (NVIDIA), Chau Dang (NVIDIA)
Joshua Patterson and Mike Wendt explain how NVIDIA used GPU-accelerated open source technologies to improve its cyberdefense platforms by leveraging software from the GPU Open Analytics Initiative (GOAI) and how the company accelerated anomaly detection with more efficient machine learning models, faster deployment, and more granular data exploration. Read more.
16:35–17:15 Wednesday, 23 May 2018
How to protect big data in a containerized environment
Data engineering and architecture, Platform security and cybersecurity
 Location: Capital Suite 7 Level: Non-technical
Thomas Phelan (HPE BlueData)
Recent headline-grabbing data breaches demonstrate that protecting data is essential for every enterprise. The best-of-breed approach for big data is HDFS configured with Transparent Data Encryption (TDE), but TDE can be difficult to configure and manage—issues that are only compounded when running on Docker containers. Thomas Phelan discusses these challenges and explains how to overcome them. Read more.
17:25–18:05 Wednesday, 23 May 2018
Security, governance, and cloud analytics, oh my!
Big data and data science in the cloud, Data engineering and architecture, Law, ethics, and governance, Platform security and cybersecurity
 Location: Capital Suite 7 Level: Beginner
Nikki Rouda (Cloudera), Nick Curcuru (Mastercard)
Average rating: ****.
(4.00, 2 ratings)
Having so many cloud-based analytics services available is a dream come true. However, it's a nightmare to manage proper security and governance across all those different services. Nikki Rouda and Nick Curcuru share advice on how to minimize the risk and effort in protecting and managing data for multidisciplinary analytics and explain how to avoid the hassle and extra cost of siloed approaches. Read more.
17:25–18:05 Wednesday, 23 May 2018
Code Property Graph: A modern, queryable data storage for source code
Data science and machine learning
 Location: Capital Suite 12 Level: Intermediate
Fabian Yamaguchi (ShiftLeft)
Average rating: ****.
(4.33, 3 ratings)
Fabian Yamaguchi offers an overview of Code Property Graph (CPG), a unique approach that allows the functional elements of code to be represented in an interconnected graph of data and control flows, which enables semantic information about code to be stored scalably on distributed graph databases over the web while allowing them to be rapidly accessed. Read more.
14:05–14:45 Thursday, 24 May 2018
Executive Briefing: Data privacy in the age of the internet of things
Executive Briefing, Law, ethics, and governance, Strata Business Summit
 Location: Capital Suite 17 Level: Beginner
Alasdair Allan (Babilim Light Industries)
The increasing ubiquity of the internet of things has put a new focus on data privacy. Big data is all very well when it's harvested quietly and stealthily, but when your things tattle on you behind your back, it's a very different matter altogether. Alasdair Allan explains why the internet of things brings with it a whole new set of big data problems that can't be ignored. Read more.
14:55–15:35 Thursday, 24 May 2018
Executive Briefings: Killer robots and how not to do data science
Executive Briefing, Law, ethics, and governance, Strata Business Summit
 Location: Capital Suite 17 Level: Non-technical
Kate Vang (DataKind UK), Christine Henry (DataKind UK)
Not a day goes by without reading headlines about the fear of AI or how technology seems to be dividing us more than bringing us together. DataKind UK is passionate about using machine learning and artificial intelligence for social good. Kate Vang and Christine Henry explain what socially conscious AI looks like and what DataKind is doing to make it a reality. Read more.