We create an event targeted at people who use Big Data in practice in their daily work. We want to share knowledge and exchange experience in shaping scalable and distributed computing solutions. The main idea behind the conference is to promote knowledge and experience in designing and implementing tools for the analysis of big data volumes.
Playing an active role in the BigData world, we can see that a big technical conference focused on the exchange of knowledge and experience in this field is needed in Poland. The aim of the conference is to create a synergy between businesses, focused on the creation and implementation of Enterprise class solutions, and experience and knowledge of academic environment. The Data Science is a great example showing this is currently possible.
The Conference will be held in the post-industrial venue of the CSG Centrum Stocznia Gdańska. The event activities will cover the area of 1,000 m2. Two lecture rooms, workshop space and exhibition space will be available.
Date of the conference
Creation of distributed computing solutions using Hadoop framework. Architecture, implementation and testing of software based on a cluster or a distributed system of files. Creation of ETL processes and reporting systems.
Technologies: Hadoop (Cloudera, Hortonworks, MapR), Talend, Spark, Scala, Avro, Sqoop, Flume, Ozie, Pig, HBase, Hive, Impala ...
Management and administration of clusters based on BigData technologies. In this subject, we focus on issues related to the installation and maintenance of advance cluster solutions (installation, configuration, decomposition and update of the cluster). This cycle also touches upon the methods of automating maintenance processes within the cluster.
Technologies: Cloudera Manager, Ambari, Cloudera Director, Chef, Puppet, Cloudera Altus..
Data analysis systems using machine learning and artificial intelligence. Creation and optimisation of analytically sophisticated solutions. Methods of modelling and verifying developed solutions.
Technologies: H20.ai, Python Anaconda, SAS, SPSS, WPS, Mahout, R ...
Real-time processing of data going to a cluster. This form of data analysis enables an immediate response to any generated activity. It is not only about the activity generated by users themselves, but also about devices communicating with each other within the IoT standard.
Technologies: Spark, Storm, Kafka..
Business application of Big Data tools. Typical using case studies showing why the world of big data wins the market all over the world. Pros and cons of solutions in terms of efforts and costs related to the implementation and maintenance of such environments. Reference to commercial vs. open-source technologies.
Cluster solutions in R&D centres. One of the examples is the use of the platform for computing in grant-funded activities at technical universities. We show how a cluster may be used for advance computing and modelling.
Hurry up!Limited quantity of early birds tickets available until August 17th.
All around the world the post-industrial areas are becoming the places where the most impressive pieces of architecture are erected and prestigious business, entertainment and art events are hosted.
The magnificent building 89A stands right in the middle of downtown Gdansk, near the famous Solidarity Square. It is a gem among the post-industrial architecture of Europe. U-boots were manufactured here before World War II, but later it has been used for peaceful purposes only. In the middle of 2004 it was called Centrum Stocznia Gdanska (Gdansk Shipyard Centre) and became the seat of the European Culture and Education Centre.
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+48 516 960 028
+48 517 461 507