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

Schedule: Law, ethics, governance sessions

11:1511:55 Wednesday, 24 May 2017
Location: Capital Suite 14
Level: Intermediate
Mark Donsky (Okera), Vikas Singh (Cloudera)
Average rating: ****.
(4.33, 9 ratings)
Big data needs governance—not just for compliance but also for data scientists. Governance empowers data scientists to find, trust, and use data on their own, yet it can be overwhelming to know where to start, especially if your big data environment spans beyond your enterprise to the cloud. Mark Donsky and Vikas Singh share a step-by-step approach to kickstart your big data governance. Read more.
12:0512:45 Wednesday, 24 May 2017
Location: Capital Suite 14
Level: Intermediate
Steven Touw (Immuta)
Average rating: ****.
(4.17, 12 ratings)
The global populace is asking for the IT industry to be held responsible for the safe-guarding of individual data. Steve Touw examines some of the data privacy regulations that have arisen and covers design strategies to protect personally identifiable data while still enabling analytics. Read more.
14:0514:45 Wednesday, 24 May 2017
Location: Capital Suite 14
Level: Non-technical
Antonio Alvarez (Santander Group), Lidia Crespo (Santander UK)
Average rating: ****.
(4.00, 5 ratings)
Successful organizations are becoming increasingly Agile, and the autonomy and empowerment that Agile brings create new, active modes of engagement. Data governance however is still very much a centralized task that only CDOs and data owners actively care about. Antonio Alvarez and Lidia Crespo outline a more engaging and active method of data governance: data citizenship. Read more.
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.
16:3517:15 Wednesday, 24 May 2017
Location: Capital Suite 14
Level: Non-technical
Emma Deraze (DataKind UK)
Emma Deraze explores a collaborative project between DataKind, Global Witness, and Open Corporates to analyze open UK corporate ownership data and presents findings and insights into the challenges facing open official data, specifically in the context of an international setting, such as complex corporate networks. Read more.
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.
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.