Data Science Economy: Data Driven
3 keynotes / 16 talks / 32 speakers
Meet the Speaker!

17. – 18.05. 2018, @HUB385, Zagreb, Croatia
Consultant at Poslovna inteligencija

Tomislav Hlupić

His primary interests are data warehouses and business intelligence in distributed systems, on which his MSc thesis was focused and which are continued on his PhD studies, having bigger focus on integrating Big Data with structured data.

Tomislav Hlupić is a consultant in Poslovna Inteligencija with knowledge of Microsoft BI technologies and experience in different industries. Right before the consulting career, he has enrolled to the PhD studies on Faculty of Electrical engineering and computing where he is currently a PhD candidate with focus on new approaches towards data integration of both structured and unstructured data. As a promotor and a big supporter of cloud technologies he delivered talks on conferences on the topics that are mostly focused on the development of BI technologies in the cloud.



He is experienced in project management on a small-scale level as a project leader in a student union and on various projects as a freelance software engineer (from the software design to the development).

During studies of information technology and telecommunications he gained experience in various programming languages (mostly Java and C#) mainly through freelancing projects, which he later used as a software developer.



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Sessions and Workshops

A workshop is embedded into a conference; it doesn’t take place on its own, but it takes place during the main conference.


Data Warehouse & Big Data – what has changed?

In the past few yearS, one of the biggest questions in the world of analytics is whether the rise of Big Data implies the dawn of Data Warehouses. Even with the development of Hadoop 2.0, the usage of Data Warehouses didn’t drop – on the opposite, having Big Data technologies by their side gave a possibility of augmenting the scope of analysed data. New concepts of hybrid warehouses built on the top of Data Lake architectures have risen and are currently implemented by major vendors. Whether the analytics system is built from scratch or is evolving from the Data Warehouse, there are several approaches to the design and implementation, each with their benefits.

Various tools that enable the interoperabililty of structured and unstructured data on all levels (integration and analytical) have been developed. The workshop will be based on the use cases for different challenged in the analytical system using the tools like Apache Impala.

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