Accelerate the Transformation
Speed up data processes, Optimize faster for Value
What is BDU?
Big Data Universe Conference is the #1 Big Data HUB for data & IT professionals in Hungary. In the last two years we hosted almost 600 attendees from almost all European countries. Attendees include CEOs and CTO’s of both the world’s fastest growing startups and largest companies, alongside leading investors and many data enthusiast.
Our aim with BDU is to provide the latest trends & insights to data lovers and IT professionals about Big Data management, analytic solutions along with valuable advice and implementable use case examples.
The one day’s agenda will feature presentations from industry luminaries and data experts and provides an outstanding networking opportunity during and after the event.
Big Data Universe Conference 3.0 will focus on practical and technical innovations in the following topics:
Automated chat communication, learning bots
Expanded visualization in 3D
Self driven cars (AI motive)
with BI platforms
Exploring the explosive world of financial technology
Internet of Things & Internet of Everything
At Neticle we have designed automated social media text insight discovery methods to let the machine recognize interesting patterns. We have also put focus on how to tell this to our users so we have created a Natural Language Generation (NLG) solution to generate readable multilang insights automatically. I will let you know how we built this solution and how can you create similar.
CEO @ Neticle
Text Insight Discovery: From NLP to NLG
Mate has experience in Big Data architectures, data analytics pipelines, operation of infrastructures and growing organisations by focusing on culture spanning more than a decade. Mate also teaches Big Data analytics at Budapest University of Technology and Economics . Speaker and organiser of local and international conferences and meetups.
Data-driven solutions are eating up the Industry. We call it Industry 4.0, the next industrial revolution. We are still in the early stages of this significant transformation, but we already see emerging patterns. Which technologies can come out as the winners of the change coming? What tools and technologies should you invest in? Are Kafka, Spark, AWS and cloud solutions the Holy Grail of IoT? Will AI live up to the hype? What are the low-risk, high return strategies in data analytics? We'll try to answer these questions and look into what the future will bring us in data analytics in the industrial revolution.
Partner and Instructor @ Datapao
Winning strategies and technologies in Industry 4.0 and IoT
``Kubernetes, and cloud native technologies are bringing a significant paradigm shift to infrastructure, big data deployments and applications, and these changes are fast and not incremental. We claim that the existing big data frameworks are all built on out-dated infrastructural components and the proposed changes are too little and too late. We're essentially making the pitch that Kubernetes solves these problems and implies a better separation of concerns between compute, SQL, streaming and the underlying infrastructure, let it be cloud, on-prem or hybrid. Kubernetes has become the de facto standard, as a ````runtime fabric```` purposely designed and built for the cloud and scale and does things the right way - it is an overall game changer and we hope that the big data landscape will benefit from it.
This talk is making the audience familiar with these changes, the drawbacks and benefits of each, and also drive through our journey of implementing a Heroku/Cloud Foundry like PaaS, Pipeline where we move these frameworks from monoliths to microservices.
CTO @ Banzai Cloud
Living the paradigm shift
University of Applied Sciences FH Technikum Wien.
He is Master of Electrical Engineering (TU-Graz) and Renewable Energy Systems (UAS FH Technikum
Wien). His occupational career led him also to the field of Information and Communication Technology
at Siemens AG, where he conducted numerous international development projects. He designed the
first Austrian Smart Grid Lab, located at the ENERGYbase in Vienna, which is base for the Master Study
program and key asset for some research projects.
Besides national and European research projects, he is currently engaged in the research project
“Integrating the Energy System, IES Austria”, where a consortium around the Austrian Technology
Platform Smart Grid finds methods for deploying processes to ensure interoperability in the energy
The Austrian research project IES-Austria strives to adapt and implement a vendor-neutral and cooperative method to achieve interoperability of ICT-systems in smart energy systems. It is based on an existing method from ICT in healthcare, where interoperability of systems has long been achieved.
Integrating the Healthcare Enterprise (IHE) is a global non-profit organisation that engages actors in the health system to achieve interoperability of ICT-systems in healthcare. IHE developed a fair, cooperative and participatory method to engage vendors, manufacturers and users alike. The modular, well-defined process starts with the definition of use cases, followed by cooperatively developing “interoperability profiles” which select, optimise and specify the normalised use of existing technology standards that address the well-defined use cases. These profiles assemble specific “base standards” which together provide complete technical specifications that cover all interoperability issues (e.g. data formats, transport protocols, semantics and security methods).
University of Applied Sciences – FH Technikum Wien
Learning from e-Health – Interoperability Process for the Energy System
The conference is FREE OF CHARGE but attendees must register via Eventbrite.
However VIP tickets are also sold (35.000 HUF) giving you the excellent opportunity to spoil yourself with quality gourmet food, PaaS (Palinka as a Service) and leverage the possibility of excellent networking.