This event is co-located with Cloud Native: Delivering Effective Enterprise Solutions. Delegates may attend any sessions from either of these two conferences.
“A data lake is a system or repository of data stored in its natural format, usually object blobs or files. A data lake is usually a single store of all enterprise data including raw copies of source system data and transformed data used for tasks such as reporting, visualization, analytics and machine learning.” (Wikipedia)
As the definition shows there is considerable work to be done to create a comprehensive strategy and architecture to use the stored data. But this can be daunting task as every enterprise will have to deal with the innumerable technologies, stakeholders as well as prioritize their efforts in making the changes.
This conference will help you:
The day will be a mixture of mini-workshops and presentations covering:
We are inviting speakers – thought leaders, subject experts and start up entrepreneurs – to share their knowledge and enthusiasm about their work and their vision in the field of Data.
Please complete the speaker’s response form and submit a proposal to present at this event.
Our approach is that our events are dedicated to providing a harassment-free experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity or religion. We do not tolerate intimidation, stalking, harassing photography or recording, sustained disruption of sessions or events, and unwelcome physical contact or sexual attention. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, Twitter and other online media. Event participants violating these rules may be sanctioned or expelled from the event without a refund at the discretion of the conference organisers. Please bring your concerns to the immediate attention of the event staff.
Diversity: In our endeavour to be the provider of knowledge to the business community, we understand that this depends on hearing from and listening to a variety of perspectives that come from people of all races, ethnicities, genders, ages, abilities, religions, sexual orientation, and military service. We welcome diverse speakers for all our events, we do not always fully achieve this goal, but it is an ongoing process.
Dr Richard Sykes, Chair, Cloud Industry Forum & Strategic Advisor, Bloor
We are now entering the age of Big Software, where data storage, processing and networking are all software defined: and a world where the technical infrastructure for data processing is increasingly hybrid, integrating on-site, cloud, IoT ‘edge’ and more. Just as software development has recently evolved to be more closely aligned to driving the operations it is intended to underwrite - thus Dev/Ops - so now the optimum architecture for data processing operations can be shaped by the performance objectives being targeted – thus Arch/Ops. Dr Sykes will set the scene for the two key foci of the day: On Being Cloud Native and On Being the Data Driven Enterprise. He is Chair of the Cloud Industry Forum, and Strategic Advisor at Bloor.
Richard Conway, Chief Executive Officer, Elastacloud
Organisations now look to the Data Lake as the new single version of the truth where they looked as they used to look to a Data Warehouse. In this plenary Richard Conway will assess why every organisation needs to shift their thinking to accessibility of data as the source for all other sources. You will learn all terms and ideas of Data Lake related to design and implementation as well as dos and don’ts. An arsenal of words and good practice that every executive should have in their war chest!
Dominic Harries, Dev Lead, IBM
What does it mean to be cloud native? This talk will explain the whats and whys of building cloud native applications, and examine how the best ways to organise people sometimes mirror the best ways to organise code.
Norbert Eschle, Enterprise Data Architect, Direct Line Group
Most organisations are at the very least considering the move of some or all of their data capabilities to the cloud. This offers agility and the opportunity to explore, test and implement new ways of working. It also challenges Enterprise Architecture to support technology change in new ways. This talk will share some of these challenges and how they can be addressed.
Moderator: Mark Grundland
Huw Price, Managing Director, Curiosity Software Ireland
For all the promise of AI, we must first have enough varied, quality data being collected across the enterprise. Remove siloes, maximise observability. Then harness insights. This session will present a practical strategy for creating a healthy data lake, using Robotic Process Automation (RPA) to connect disparate technologies and stakeholders.
Dan Hooper, Managing Director and Co-founder, Piccadilly Group
With the unstoppable advances in technology and infinitely greater data volumes and complexity how can we process, visualise and make sense of these datasets?
We explore how science is solving these challenges by creating living data and what this means for business in the future.
Ole Moeller-Nilsson, CTO, Pivigo
This is a story. The story of the dashboard. It will start with a question, a vision and a quest, leading into a crazy search through plotting wonderland that ends in.... Well, come to hear for yourself. What this story may teach you: the options out there for visualising the data in your warehouse and why none of them may be for you.
Doug Cackett – EMEA Big Data, IoT and AI/ML Solution Lead, Dell EMC Consulting
We’ve understood for a long time that organizations who spend more on, and are better at, deriving value from their data using analytics significantly out perform their peers in the marketplace. We also know, because we feel it, that the pace of change is ever increasing – often referred to as the "Red Queen effect". So how do you exponentially scale your analytics without also exponentially growing costs and people?
In this session, we will discuss the challenge of delivery from the current Information Management estate, including ETL, Data Warehouses, Marts, Data Lakes and Data Governance to see what needs to change and how, if we are to meet these challenging business demands.
Mark Grundland, Functional Elegance
What enables an effective data visualization to deliver insight at a glance? This talk presents practical techniques for how information visualization design can take better account of the fundamental limitations of visual perception, exploring the design choices that determine whether a picture can meaningfully convey the data set it is meant to represent.
Dennis Wilbrink, Solutions Engineer, Hitachi Vantara
I’ll will be discussing the deployment of an industry 4.0 network in steel manufacturing, demanding a 1ms response time at the edge. With some very specific hardware in place versatility is key. This, alongside the offloading of larger datasets to the cloud. All leading up to leverage Machine Learning in the automated factory of the future.