Thursday 9th November, 2017
The Seminars will take place from 12.15 – 13.00.
Delegates will be able to attend one seminar at the event. No pre selection is required – delegates will be able to select which session they attend onsite.
How to deliver a shared data experience optimised for the cloud
Mark Samson, Principal Systems Engineer, Cloudera
Dan Croft, Systems Engineer, Cloudera
Machine learning and analytics applications are exploding in the enterprise; driving use cases for preventative maintenance, improving customer experiences, and helping to combat fraud and regulatory requirements.
But each of these high-value use cases rely on a variety of data analysis capabilities working in concert to combine data from different sources into a single coherent picture. The introduction of a “shared data experience” that makes applications easier to develop, less expensive to deploy and more consistently secure is the secret to success.
This breakout session will explore:
• Why multi-function applications are difficult to build and secure
• How shared catalog, governance, management, and security applied consistently everywhere deliver a “shared data experience”
• How enterprise customers are building new, high-value applications optimised for the cloud.
The Heat is on: Business is Demanding a Faster Path to Profitability
Lakshmi Randall, Director of Product Marketing, Denodo
Surface the right data, at the right time, with the right confidence and performance.
Today’s enterprises are eager to make the right data available at the right time to their decision-makers at every level of the organization in support of building strategies, improving operations, engaging customers, and gleaning actionable insights with confidence. Unfortunately, the journey from vision to delivery of data insights can be painfully slow. The traditional approach to analytics causes unacceptable delays in surfacing insights that are needed expeditiously. Even modern data platforms like big data systems are unable to keep up with the rapid speed of the business.
Attend this session to learn:
- What can be done to reduce time-to-value
- Why Business and IT collaboration is necessary
- How data virtualization and big data technologies are coming together with agile development methods to empower users to be productive with data sooner
All your data, All your people, One platform: Snowflake + Talend
Graham Mossman, Sales Engineer, Snowflake
Ian Thomas, Senior Pre-Sales Consultant, Talend-Snowflake and Talend help organisations of any size manage the modern data deluge with simplicity and scale.
-Combine and host all of your data -whether it’s cloud or on-prem, structured or semi-structured- in a single platform that anyone can manage.
A Data-First Approach to Drive Real-Time Intelligent Applications
Pinakin Patel, Senior Director EMEA Systems Engineering, MAPR
Leading companies that are getting the most out of their data are not focusing on queries and data lakes; they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. Pinakin Patel reviews best practices, based on customer use cases, to show how customers develop, deploy, and dynamically update these applications and how this data-first approach is fundamentally different from traditional applications.
Stop Refreshing Vanity Metrics & Start Focusing On The Metrics That Inform Decisions
Gerard White, Data Analyst, Looker
For truly data-driven companies like King, Deliveroo and Trivago, data is part of the very fabric of the business, woven into every moment of every day.
Join us for this live presentation to discover how to:
– Evolve beyond reporting on high level trends in your business, to deeper metrics that drive strategy and growth
– Amplify the use of data in your company by moving beyond dashboards, to integrate data-delivery into employee tools and technology
– Create a data-driven culture, with a measurable impact on your business
Apache Metron: Streaming Millions of Cyber Security Events Per Second With Advanced Behaviour Analytics
Simon Elliston Ball, Director Product Management, Cyber Security, Hortonworks
Cyber security is all about drowning in data and not having enough people to keep up. Criminal organisation and nation states have huge resources and collaborate on the attack side, while traditional systems keep slow silos and short memories. Apache Metron takes a big data, open source community and data science centric approach to give security analysts a fighting change of keeping up. With behaviour profiling as part of the realtime stream, and a unique ability to slit windowed analytics over long periods of time, Metron also provides a platform for security data science, and deep, relevant, personalisation of security response and advanced detection.
Start Conducting Your Big Data
Matt Fordham / Software Defined Storage UK&I / IBM
IBM Spectrum Storage and Conductor offerings enable you to deliver a complete solution for modern data-centric applications which 1) eliminates silos with a multi-tenant converged application and data fabric, 2) simplifies administration pane management and monitoring across a scale-out, distributed infrastructure, 3) improves data availability with global, shared access to ensure data is available right when it’s needed, 4) minimizes deployment time by automating deployment of physical, virtual and containerized resources