Real-time Applications of Big Data
Real-time Applications of Big Data
Hello,
On behalf of Data Science Society Bulgaria you are kindly invited to be part of the Real-time Applications of Big Data event.
What: Real-time Applications of Big Data will briefly describe four real life story about application of Big Data technologies for solving particular challenges.
When: 18/01/2016, 18:30 h.
Where: VIVACOM Art Hall
We can go after the event to stroeja bar (10 lege str ) for networking and fun!
Big Data: Improving capacity utilization of transport companies
Asparuh Koev
- Asparuh Koev - Asparuh Koev is a successful serial entrepreneur. Currently, he is a CEO of Transmetrics, a solution for cargo transport companies that uses Big Data and predictive analytics. Asparuh holds a Bachelor’s Degree in Computer Science from the American University in Bulgaria and an MBA degree from the Vlerick Business School in Belgium.
- “Big Data: Improving capacity utilization of transport companies” will explore the practical benefits, IT tools and challenges of implementing a big data solution in a traditional industry (cargo transport), using as a showcase a predictive analytics project done for Speedy. Among the topics will be: How do you convince management to do a big data project? What are the challenges in implementing a big data project connected to a legacy IT landscape? Can it be done 100% with open source tools? What IT skills are most needed in such a project?
The future of Big Data tooling
Alexander Aldev
- Alexander Aldev - Co-founder and CTO of MammothDB, currently focused on the architecture of the distributed database engine. Notable achievements in the past include managing the launch of the first triple-play cable service in Bulgaria and designing the architecture and interfaces from legacy systems of DHL Global Forwarding's data warehouse. Has lectured on Hadoop at AUBG and MTel.
- "The future of Big Data tooling" will briefly review the architectural concepts of current Big Data tools like Hadoop and Spark. It will make the argument, from the perspective of both technology and economics, that the future of Big Data tools is in optimizing local storage and compute efficiency. The presentation will close off with some examples of practical applications of MammothDB, a distributed SQL-based analytical database engine which is built on these principles.
Real-time information analysis: social networks and open data
Plamen Penev
- Plamen Penev - Co-founder of Yatrus Analytics, graduated from the University of Essex (Political Science and IR). He works In Yatrus Analytics in the fields of NLP (Natural Language Processing), Text mining, Graph analysis, he is interested in Networks Analysis, Complex Systems Science, Agent-based modelling, Artificial Intelligence and Machine Learning and others.
- The problem of real-time multisource data analytics is the main topic I will be addressing. My focus will be on the problem of variety and the combination of many various data sources, the blending of those in real-time. The information discovery from Twitter and other sources as seen through the state of NLP (Event extraction, Classification of events, Sentiment analysis) in combination with financial data for individual companies, macro economic data and market indeces data. The challenge of Open data and the great potential in this ever-growing sea of data- Yatrus' approach to the combination of open and proprietary data. Social Systems analytics in real-time is a great challenge and our fundamental approach towards solving the problem is based on the study of Complex Systems and some of the crucial tools being applied within in- namely Networks Analysis, Fitness Landscape and Agent-based Modelling.
Real-time analytics with HBase
Ivo Mitov
- Ivo Mitov – Co-founder of Data Fusion Bulgaria, software consultant in the area of EAI and Big Data.
- "Real-time analytics with HBase" is focused on the usage of HBase’s coprocessor framework for complex event processing and simple analytics. The presentation will describe monitoring use case in the context of complex SOA environment.
Regards,
Ivo