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BDW16 EVENTS

See at a glance all the events that took place during Big Data Week 2016 in each city. Click on a city to see your local events.

CITIES

BARCELONA | CHICAGO | HO CHI MINH | JAKARTA | KUALA LUMPUR | LEEDS | LONDON | MADRID | RIO DE JANEIRO | WALLONIA

BARCELONA

Main Conference BARCELONA
October 25, 2016 / 9:00 AM – ESADE Barcelona
Mega Meetup BARCELONA
October 27, 2016 / 4:00 PM – Mobile World Center BCN

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CHICAGO

Big Data Weeek Chicago Conference
September 21, 2016 / 8:00 AM – Tech Nexus
One-day big data conference, gathering data professionals and developers sharing their experience and innovative projects.
Technical and business experts from various industries will share their knowl . . .edge, best practices and challenges they are facing while leveraging big data.

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HO CHI MINH

Big Data Week Ho Chi Minh Conference – Day 1
October 25, 2016 / 8:00 AM – Park Hyatt Saigon Hotel, 02 Cong Truong Lam Son, Ben Nghe Ward, Ho Chi Minh City
Big Data in Use Conference

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JAKARTA

Big Data Week Jakarta Conference
March 23, 2017 / 8:00 AM – Grand Sahid Jaya Hotel, Jakarta, Indonesia
Big Community is proud to be announce that the flagship event for Big Data Week Jakarta will take place on 23rd March 2017. Join us on this day as we will be bringing in together experts and complemen . . .tary speakers. We will be bringing together a mix of speakers from our commercial sponsors as well as experts/practitioners from academia and the Big Data eco-system.
We are currently profiling the experts we intend to invite to speak at the event and will focus on bringing together experts in the field of open data, data sharing and Big Data in developing nations.

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KUALA LUMPUR

Big Data Week Asia Conference
September 19, 2016 / 8:00 AM – Hotel Istana Kuala Lumpur City Centre
Experience the power of data analytics at #bdwa satellite events during 19-25 September

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LEEDS

Big data from small things
October 24, 2016 / 5:00 PM – Boar Lane, Leeds LS1 5NS
It’s estimated that there will be over 50 billion devices connected to the internet by the year 2020. The triad of ubiquitous wireless connectivity, falling costs for micro-controllers and the rise of . . . cloud computing is simplifying the process of creating new connected device, or IoT, applications.
Join this session with Amazon Web Services Technical Evangelist Ian Massingham, and learn how the cloud helps organisations realise their ideas for new and innovative connected device products, as well as bring the benefits of realtime data collection and machine-based control to existing business processes.
Like all Leeds Big Data Week events, this event is free to attend. You must, however, reserve a place in advance. Booking will close once an event is full.
Register here!
Big data VIP drinks evening
October 24, 2016 / 6:00 PM – The Alchemist, Greek Street, Leeds LS1 5SH
Connections and conversation evening
Speakers, business leaders, academics and key movers and shakers from the Big Data Scene will gather as Big Data Week begins for informal discussions and to make n . . .ew connections.
Whilst our other Big Data Week events are free and open to all, our Champagne and Canape reception is by invitation only, due to the limited space available.
If you would like to attend, please contact Katherine.Pomfret@alscient.com
We would be delighted to include you if you:
are a senior data practitioner, working either as an academic or in the commercial sector
are a senior business leader, with an interest in Big Data for business growth or transformation
Please note that only confirmed guests will be admitted on the evening.
The evening has no formal element to it, but provides a relaxed opportunity to discuss the topics covered in our learning events with speakers and to meet a range of leaders and data practitioners from across the North of England.
Big Data in Small Contexts – Breakfast at Brasserie Blanc
October 25, 2016 / 9:00 AM – Brasserie Blanc, Victoria Mill, Sovereign Street, Leeds LS1 4BJ
Does Big Data automatically lead to Deep Understanding?
What are the dangers of extending our data set when our context is unique and richly individual?
Artificial Intelligence PhD holder and Data Pra . . .ctice Lead for Alscient, Dr Dom Despotakis, will summarise the benefits as well as the pitfalls of using Big Data. Drawing on a range of real-world scenarios he will challenge the use of large volumes of data in certain business contexts.
This is bound to be a thought-provoking session, and Dom will be drawing on the audience’s own experience as we work towards a perspective on these fascinating topics.
Tea, coffee, orange juice, croissants and croque monsieur will fuel our discussions.
Like all our Big Data Week events, attendance is free but pre-booking is essential and booking reference must be brought with you to the event.
Whose Data is it Anyway? Why ownership is a Bad Idea for Personal Data
October 25, 2016 / 9:30 AM – 4 VICTORIA MILL 3 THE EMBANKMENT SOVEREIGN STREET, LEEDS LS1 4BJ
This talk for business leaders, given by Dr Kevin Macnish of the Univeristy of Leeds, will address problems with the idea that we “own” the data that relates to us.
Dr Macnish will present an alternat . . .ive approach to how we think about and treat data that relates to people. This will have implications on the need to gain informed consent. The session will suggest that there are other, arguably more important responsibilities that fall on those who collect and use data relating to people.
Dr Kevin Macnish is a Teaching Fellow and Consultant in Applied Ethics at the University of Leeds. His research is in the ethics of surveillance, security and technology. He is the author of numerous articles on privacy and surveillance ethics and has organised two international conferences on this subject at the University of Leeds. Kevin has been interviewed by Channel 4, BBC radio and television, and the Atlantic magazine, and has spoken at both the House of Commons and the House of Lords in relation to his research.
Kevin conducts ethical analysis for security and ICT projects. He has been involved with a number of European Union projects with a focus in these areas and is an Ethics Expert with REA, the research arm of the European Commission.
This talk will immediately follow Dr Despotakis’ talk on Big Data in Small Contexts.
Booking opens 6pm on Wednesday 14th September.
So You Want to be a Data Scientist?
October 26, 2016 / 6:00 PM – Headrow House, Bramleys Yard, 19 The Headrow, Leeds LS1 6PU
Thinking about life post-university, or debating a career change: Meet the experts.
Hosted by Jamie and Cameron, both recent graduates of Leeds University, this fun, practical event has a range of act . . .ivities you can choose between.
The evening will give you the chance to grill recruiters, get CV feedback and have a go at a mini-analytics challenge.
You can also see market-leading data analysis software demonstrations and try them out, as well as meet a range of analysts working at various levels on projects in Leeds.
Refreshments provided.
Big Data for Marketers
October 27, 2016 / 4:00 PM – Friends of Ham, 4-8 New Station Street, Leeds LS1 5DL
You can’t ignore it. It won’t go away. And you might just love it
Marketing used to be easy. Then along came analytics. We’ve CRM reports, Google Analytics, Marketing Automation analytics, the list go . . .es on.
Three speakers take a perspective on what Big Data means for marketers.
Paul Featherstone, Beneden Healthcare
Consumers of today expect a great experience online. An experience which responds quickly and efficiently to their needs, which delights and entertains. The days of static, generic websites are numbered on today’s dynamic, multi channel, multi-device Internet.
Those organisations that have mastered the art of targeting consumers with the right message at the right place and time have reaped great rewards and created valuable experiences for their customers.
Big data plays a key role in allowing organisations to create an optimised experience through delivering messages to consumers with precision based on insight gathered through previous interactions.
But the data must first be captured from consumers who are more resistant than ever before to the methods organisation’s use to collect data and more sceptical about how their data is used.
Organisations need to redefine the way they acquire data online and return to core values based on building a direct relationship with consumers that links the data they provide to the value they receive. Effective organisations see the benefits in a series of micro-conversions, incrementally capturing user data whilst taking them on a relevant and personalised journey from initial awareness to repeat purchase and advocacy.
Benenden’s Head of eCommerce, Paul Featherstone, will discuss some of the ways Benenden is investing in a data led approach to eCommerce to create an enhanced experience for members using their digital channels.
Benenden is a mutual founded in 1905 which provides a wide range of discretionary healthcare services to a membership of almost 900,000 people.
Katherine Pomfret, Alscient Limited
Katherine Pomfret, marketer and marketing technology fanatic, argues that the way we approach data determines our success as marketers and that an understanding of basic data analytics is an essential part of the marketing toolkit.
Big data for marketers might not involve the huge data sets used by colleagues in operations. Success is about understanding the technologies that are available, how you integrate data from different platforms to give consistently reliable reporting to management, and defining metrics that align your marketing efforts to strategic company goals.
In this session you will:
Consider the role of analytics in reporting to management
Learn how to use data to drive team and agency performance
See how data can be used to eliminate risk in spend, and predict prospect behaviour
Receive a handy, and impartial, guide to top technologies for marketeers
Receive a voucher for a one-hour CRM or Google Analytics private masterclass, using your own data
The event is aimed at marketing managers and executives, as well as sales and senior marketing leaders who wish to understand better what data they should be demanding from their marketing teams.
Big Data For Business Growth: Cloud Case Studies
October 28, 2016 / 9:00 AM – Malmaison, 1 Swinegate, Leeds LS1 4AG
Malmaison morning meeting, with lunch and optional roundtable
What if the answers to all those business challenges that kept you awake at night were already in your possession?
This morning’s speakers . . . talk through several case studies involving household names to reveal how Amazon Web Services (AWS) Analytics can unlock organisational knowledge and power growth.
The morning’s session will be followed by a hot buffet lunch and then an optional round table event with our experts where participants can explore business questions and consider cloud-enabled solutions.
The session is suitable for general business leaders, including sales managers, marketing managers, operations managers, managing directors and similar.

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LONDON

Going Digital – Big Data, Artificial Intelligence and Financial Services
October 24, 2016 / 2:00 PM – Herbert Smith Freehills Exchange House, Primrose Street London EC1A 2EG
The approaches of the financial services authorities in the UK and France to Big Data and Artificial Intelligence will be explained and discussed in language accessible to everyone. Speakers include s . . .enior representatives from regulatory authorities, technical experts and City lawyers, with a focus on banking, cyber security, machine learning and data analytics.
Meetup LondonR
October 24, 2016 / 6:00 PM – Balls Brothers, Minster Court, Mincing Lane, EC3R 7PP, London
Agenda:
6pm – Registrations (and the bar) opens
6.20pm – Presentations begin (please aim to arrive by 6.15pm to register and to get a drink and a seat)
Presentations:
• Analysing Time Series Anomaly D . . .etection Methods using R – Shannon Wirtz, USwitch
• Highlights and News from EARL2016 – Mango Solutions
• Simulating an Enterprise Data Science Pipe-Line on your Laptop – Ed Bullen, Oracle
Meetup Women Who Code London
October 24, 2016 / 6:30 PM – TBD
As there has been huge interest in Big Data from the group, we have worked with the organisers of Big Data Week and organised this special Meetup for Women Who Code London members.
We will have 2-3 sp . . .eakers and there will be opportunity to network with women already working in the field or those wanting to get into Big Data.
Talk 1 – “The Evolution of Data Exploration” by Cristina Grosu, Bigstep
(More details to be added soon)
Training: Statistical Analysis with R Training Course by Framework Training
October 24, 2016 / 9:30 AM – Aldgate, 150 Minories London EC3N 1LS UK
Training Period: 24 Oct – 27 Oct
Get 25% discount by mentioning Big Data Week when applying for the course.
Learn to wrangle data with R!
R is a programming language designed expressly to provide a st . . .atistical programming environment that includes extensive graphical capabilities. It has rapidly become the de facto standard for analysts across many disciplines.
On our introductory R training course you will learn the basics of the R language and how to carry out a range of commonly used analytical processes. You’ll also learn how to produce quality graphics.
Data Science Lab Meetup: Building scalable systems in a changing data landscape
October 25, 2016 / 6:30 PM – Google London, St Giles High Street
Hosted by:
Plotly, Data Science Labs & Google Cloud Platform as part of Big Data Week.
Schedule:
18:30 Registration Starts
19:00 Pascal Bugnion, Data Engineer at ASI Data Science, author of Scala for . . .Data Science, Scala and Plotly API
19:30 Tom Medley, Head of Development at Method, Prev CTO of Skin Analytics
20:00 William Vambenepe, Lead Product Manager for Big Data / Google Cloud Platform
20:30 Drinks and networking
*****
For security and space, places at the event are allocated strictly by RSVP on Eventbrite
Anyone who does not have an Eventbrite ticket will be turned away.
Building scalable systems in a changing data landscape
October 25, 2016 / 6:30 PM – Google London, St Giles High Street
Hosted by:
Plotly, Data Science Labs & Google Cloud Platform as part of Big Data Week.

O’Reilly Webinar: Scaling During Hypergrowth: Lessons Learned at AppNexus
October 25, 2016 / 6:00 PM – Online
AppNexus’s cloud-based software platform powers and optimizes the programmatic sale and purchase of digital advertising.
Join us for this live webcast to hear about the operational techniques AppNexus . . . used to scale up a core component of its infrastructure—the server-side cookie store—even as a substantial portion of the world’s internet advertising flowed through the ad tech platform. Their cookie store’s capacity has now reached tens of billions of objects and millions of read/write operations per second and the system runs in half a dozen geographically distributed data centers.
In this webcast, you’ll learn:
How AppNexus scaled their infrastructure during a hypergrowth business phase
Key components of a hybrid scale-up, scale-out methodology
How to achieve an SLA of near 100% uptime, with the lowest TCO
About Brian Bulkowski, Co-Founder and CTO – Aerospike
Brian has a background of 25 years in the Silicon Valley as a team leader, architect, and senior manager entirely in the area of large-scale server infrastructures (commodity routers at Novell, video servers at Starlight Networks, large-scale broadband at Liberate, and distributed computation at Aggregate Knowledge).
O’Reilly Webinar – Hue: A unified Hadoop UI for big data analysis
October 26, 2016 / 6:00 PM – Online
Today’s data scientists and data analysts work across a diverse array of domains but largely perform a set of common tasks that includes data cleansing and transformation, data mining, statistical mod . . .eling, and machine learning. Many of these tasks require tools and languages that are well suited to handling medium to large volumes of data. As a result, organizations are frequently turning to Hadoop-based solutions, which provide scalability, flexibility, and cost efficiency via a generalized open source platform of tools. It’s no surprise that Hadoop is expected to be at the core of more than half of all analytics software within the next two years.
However, many analysts struggle with the learning path to mastering Hadoop tools and integrating them to execute and operationalize a data analysis workflow. Jenny Kim introduces Hue, an open source, web-based UI that simplifies this process by unifying Hadoop’s core technologies and its most commonly used tools into a single user interface. You’ll learn how to install and configure Hue to work with a Hadoop installation, load data into HDFS using Hue’s file browser, and create Hive tables directly from HDFS files using Hue’s metastore create table wizard. Jenny also demonstrates how to use Hue’s Hive Editor to query data, save results to HDFS, and share queries for collaboration with other users and walks you through performing procedural data mining using the scripted language Pig Latin, monitoring running and completed Hadoop jobs using Hue’s job browser, and orchestrating a scheduled workflow using Oozie.
About Jenny Kim
Jenny Kim is an experienced big data engineer who works in both commercial software efforts and academia. Jenny is currently working with the Hue team at Cloudera to help build intuitive interfaces for analyzing big data with Hadoop. She has significant experience working with large-scale data, machine learning, and Hadoop implementations in production and research environments. In a previous project, Jenny, along with Benjamin Bengfort, built a large-scale recommender system that used a web crawler to gather ontological information about apparel products and produce recommendations from transactions.
Meetup Pentaho: PLUG Big Data Week London Tie-up
October 26, 2016 / 6:00 PM – Skillsmatter CodeNode, 10 South Place, London, EC2M 2RB, GB
Talks start around 6.30, feel free to get there a little earlier and grab a beer at the bar first.
Agenda:
Talk 1 – Matt Casters, founder of Kettle will be showing off the latest stuff from the Kettle . . . community (which is huge by the way!) as well as a spark roundup.
Talk 2 – Wael Elrifai – IoT: From Data to Information; from Information to Knowledge
Industry 4.0 and the Internet of Things are certainly getting a lot of “airtime” lately. Wael Elrifai will be discussing our own work on building a predictive maintenance system for Hitachi Rail using “Big Data” eco-system elements including Pentaho, Hadoop, and Spark/MLlib. I’m excited to share and debate concepts, processes, and ideas about how best to prototype such systems, and ways of collaborating between data engineering/integration/machine learning teams. We may not have time to go into the mathematics, but I hope we can start a good conversation about collaboration in this vacuum between data engineering and data science.
Talk 3 – Nelson Sousa / Miguel Cunhal – Data modelling in hadoop – A preview of a more indepth talk to be seen at PCM16.
Talk 4 – Dan Keeley – Live lightning talk preview of PDI and Kafka
Afterwards we’ll continue the discussions in the Red Lion over the road.
Please don’t forget to register at skillsmatter too – this will ease entry – especially as it will be a VERY busy evening this week with all the other groups. https://skillsmatter.com/meetups/8154-pentaho-london-usergroup
Big Data Here
October 26, 2016 / 12:00 PM – North Lodge, University College London, Gower Street
The Consumer Data Research Centre (CDRC) are hosting ‘Big Data Here’, a free exhibition of local, live data providing an alternative, digital view of the physical space around University College Londo . . .n (UCL).
Each day a different live data feed will be projected onto the north wall inside the North Lodge, opposite to an Ipad wall created by the Centre for Advanced Spatial Analysis (CASA), which will display live data across various screens. As well as being visible in real time to members of the public around the UCL space, people are invited to drop into the North Lodge each day between the hours of 12pm – 330pm to interact closely with the exhibits and have their questions about Big Data answered by the experienced CDRC team
Data sources for the live exhibition include transit feeds from Transport for London (TfL) and demographic information from the Office for National Statistics (ONS).
The exhibition is free.
The exhibition is curated by members of the CDRC team based at UCL, led by our Senior Research Associate Oliver O’Brien, creator of Datashine and CDRC Maps.
Big Data Here
October 26, 2016 / 12:00 PM – North Lodge, University College London, Gower Street
Period – 26.10.2016- 28.10.2016
The Consumer Data Research Centre (CDRC) are hosting ‘Big Data Here’, a free exhibition of local, live data providing an alternative, digital view of the physical space . . . around University College London (UCL).
Each day a different live data feed will be projected onto the north wall inside the North Lodge, opposite to an Ipad wall created by the Centre for Advanced Spatial Analysis (CASA), which will display live data across various screens. As well as being visible in real time to members of the public around the UCL space, people are invited to drop into the North Lodge on 26, 27 and 28 October between the hours of 12pm – 330pm to interact closely with the exhibits and have their questions about Big Data answered by the experienced CDRC team.
Data sources for the live exhibition include transit feeds from Transport for London (TfL) and demographic information from the Office for National Statistics (ONS).
The exhibition is free.
The exhibition is curated by members of the CDRC team based at UCL, led by our Senior Research Associate Oliver O’Brien, creator of Datashine and CDRC Maps.
Big Data in Use Conference
October 27, 2016 / 8:30 AM – etc venues bishopsgate 155
Join us in London for a one-day conference showcasing innovative ideas and best practices that you can implement straight away.
Here are 3 reasons why you should be there:
1. BIG DATA IN REAL BUSINESS . . . SCENARIOS
This year will feature talks centered on innovative ways Finance, Healthcare, Retail, IoT, Entertainment and Travel organisations have used big data to discover new opportunities.
2. BUSINESS & TECHNOLOGY BROUGHT TOGETHER
The only conference that brings you the results first, and then the technology. The business track will showcase best practices across 6 industries, and the tech track will show how to make use of them.
3. KEY BIG DATA EXPERTS & INFLUENCERS
The London conference that brings top big data influencers and a whole suite of big data experts together. Get to know them at our VIP networking party.
Empty Housing Innovation Lab
October 29, 2016 / 10:00 AM – University of Liverpool (London Campus), LG Floor, 33 Finsbury Square
Student Data Labs, in collaboration with the Consumer Data Research Centre (CDRC), are running an Empty Housing Innovation Lab on Saturday 29th of October in London. Free for all students, the event e . . .xplores how we can address the housing crisis with data.
Students have the option to join a Data Workshop and an Innovation Lab. In the Data Workshop, students will be learning practical, highly useful data skills. In the Innovation Lab, students have the option to explore how to address the issue of empty houses in London.
Student Data Labs run data-driven innovation labs for university students. The Labs provide a place for all, regardless of academic or social background, to learn about practical data science skills and collaborate on real-world data projects with a social purpose.

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MADRID

Main Conference MADRID
October 24, 2016 / 9:00 AM – Campus Madrid
Entrega de Premios DSAwards 2016
October 24, 2016 / 1:00 PM – Campus Madrid
Mega Meetup MADRID
October 24, 2016 / 4:00 PM – Campus Madrid

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RIO DE JANEIRO

Big Data Week Conference – Rio de Janeiro
October 29, 2016 / 8:00 AM – TBD
Big Data in Use Conference

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WALLONIA

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