Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK

Schedule: Sponsored sessions

10:10–10:15 Thursday, 2/06/2016
Location: Auditorium
Gilad Olswang (Intel)
Average rating: ***..
(3.15, 20 ratings)
Federated analytics, a new approach to analyzing big data, supports unprecedented collaboration across large distributed datasets that contain proprietary and/or protected information. Gilad Olswang explains how Intel harnesses the power of federated analytics in the Collaborative Cancer Cloud project. Read more.
11:15–11:55 Thursday, 2/06/2016
Location: Capital Suite 2/3
Tags: real-time, iot
Frank Saeuberlich (Teradata), Eliano Marques (Think Big Analytics)
Average rating: ****.
(4.25, 4 ratings)
The IoT combined with big data analytics enables organizations to track new patterns and signs and bring data together that previously was not only a challenge to integrate but also way too expensive. Frank Saeuberlich and Eliano Marques explain why data management, data integration, and multigenre analytics are foundational to driving business value from IoT initiatives. Read more.
11:15–11:55 Thursday, 2/06/2016
Location: Capital Suite 7
Robert Bogucki (deepsense.io), Maciej Klimek (deepsense.io)
With fewer than 500 North Atlantic right whales left in the world's oceans, knowing the health and status of each whale is integral to the efforts of researchers working to protect the species from extinction. To interest the data science community, NOAA Fisheries organized a competition hosted on Kaggle.com. Robert Bogucki and Maciej Klimek outline the winning solution. Read more.
11:15–11:55 Thursday, 2/06/2016
Location: London Suite 3
Gilad Olswang (Intel)
Average rating: ****.
(4.00, 1 rating)
Federated analytics, a new approach to analyzing big data, balances privacy, autonomy, IP protection and supports unprecedented collaboration across large distributed datasets that contain proprietary and/or protected information. Gilad Olswang explains how Intel harnesses the power of federated analytics in the Collaborative Cancer Cloud project. Read more.
12:05–12:45 Thursday, 2/06/2016
Location: Capital Suite 2/3
Chris Selland (Hewlett-Packard), Richard Gascoigne (DTP Solutionpath)
As we strive to realize big data's value, many seek more agile and capable analytic systems that ensure end-to-end security. Chris Selland and Richard Gascoigne explore Hewlett Packard Enterprise's robust yet flexible offering that scales with evolving needs, covering HPE's big data reference architecture, Vertica SQL on Hadoop, and machine learning as a service. Read more.
12:05–12:45 Thursday, 2/06/2016
Location: Capital Suite 7
Ben Sharma (Zaloni)
Average rating: **...
(2.83, 6 ratings)
There are many factors to consider when building your data stack, but the architecture could be your biggest challenge. Yet it could also be the best predictor for success. Given the many elements to take into account and the lack of a proven playbook, Ben Sharma explains where you start to assemble your own best practices for building a scalable data architecture. Read more.
12:05–12:45 Thursday, 2/06/2016
Location: London Suite 3
Zoltan Prekopcsak (RapidMiner)
Average rating: ****.
(4.00, 2 ratings)
Turning big data into tangible business value can be a struggle even for highly skilled data scientists. Zoltan Prekopcsak outlines the best practices that make life easier, simplify the process, and implement results faster. Read more.
14:05–14:45 Thursday, 2/06/2016
Location: Capital Suite 2/3
Average rating: *....
(1.67, 6 ratings)
Raghunath Nambiar reviews the big data landscape, reflects on big data lessons learned in enterprise over the last few years, and explores how these organizations avoid their big data environments becoming unmanageable by using simplex management for deployment, administration, monitoring, and reporting no matter how much the environment scales. Read more.
14:05–14:45 Thursday, 2/06/2016
Location: London Suite 3
Tugdual Grall (MapR Technologies)
Average rating: ****.
(4.00, 1 rating)
Stream-based technologies allow big data applications to deal with low-latency decisions and provide a more agile way to develop and deploy applications. Tugdual Grall details the various elements of a stream-based application and outlines the key capabilities of modern messaging layers like Apache Kafka and MapR Streams. Read more.
14:55–15:35 Thursday, 2/06/2016
Location: Capital Suite 2/3
Louise Matthews (Hortonworks)
Average rating: ***..
(3.00, 1 rating)
Louise Matthews covers industry trends and transformative business use cases drawn from a wide range of market sectors across Europe to bring the future of data to life. Read more.
14:55–15:35 Thursday, 2/06/2016
Location: Capital Suite 7
Average rating: ***..
(3.25, 8 ratings)
Many businesses have undertaken big data projects, but for every successful project, there are dozens that have failed or stagnated. Seb Darrington explores the reasons why such projects hit obstacles, typical challenges, and how to overcome them along your own big data journey. Read more.
14:55–15:35 Thursday, 2/06/2016
Location: London Suite 3
Joe Goldberg (BMC Software)
Average rating: **...
(2.00, 1 rating)
Joe Goldberg discusses the attributes required of a batch management platform that can accelerate development by enabling programmers to generate workflows as code, support continuous deployment with rich APIs and lightweight workflow scheduling infrastructure, and optimize production with comprehensive enterprise operational capabilities like SLA management and full log and output management. Read more.
16:35–17:15 Thursday, 2/06/2016
Location: Capital Suite 2/3
Roberto Manfredini (Liberty Global)
Average rating: **...
(2.00, 1 rating)
Liberty Global are the largest international cable company in the World. Roberto will take you on their journey in to BI and Big Data from proof of concept which lead them to an Oracle Big Data Appliance solution. Read more.
16:35–17:15 Thursday, 2/06/2016
Location: Capital Suite 7
Franz Aman (Informatica)
Average rating: ****.
(4.00, 1 rating)
Data is no longer a by-product of business transactions; now, data is the business. Franz Aman explains how data lakes can put the power of big data into the hands of every business person, sharing the inside scoop on how he turned marketing into a new kind of revenue-generation machine and interviewing an Informatica customer about how data lakes have innovated and transformed their business. Read more.
9:20–9:30 Friday, 3/06/2016
Location: Auditorium
DAVID SELBY (IBM)
Average rating: **...
(2.38, 8 ratings)
David Selby shares some of the challenges he has faced coercing meaning from data and explains why he is particularly enthusiastic about the latest technological developments in the data science field. Read more.
12:05–12:45 Friday, 3/06/2016
Location: Capital Suite 2/3
Jordan Tigani (Google )
Average rating: ***..
(3.40, 5 ratings)
Data sizes are getting larger all the time. Querying terabytes just isn't cool anymore; now you need to query petabytes. Jordan Tigani puts BigQuery to the test by performing interactive analytics against a 1 PB dataset, showcasing the exciting new features that make this process easy, fast, and affordable, and demonstrates the simplicity of managing your petabyte-scale data with "NoOps". Read more.