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        Big O in a Retailer’s Big Data
                                        April 16, 2018                                    
                                
                                
                                    In situations where 1% optimisation improvement might be worth millions - algorithm tuning, parallelisation, cloud benchmarking, etc - might turn out to be just the things that count. Grzegorz Gawron and Tomasz Lichoń will walk you through some cases where software engineering (computer science?) goes hand in hand with data science. All based on VirtusLab's real-world projects.
About the speakers
 
                Grzegorz Gawron
                                                                    Head of Data Science at VirtusLab                                                                
                                                            
                                                        
                                                                Grzegorz Gawron is a lead software engineer/manager with interests in advanced analytics and a taste for theory (that makes him a computer scientist surely!). He…                                                            
                                                        
                                                        
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                                                                Tomasz Lichoń
                                                                    Big Data Engineer at VirtusLab                                                                
                                                            
                                                        
                                                                Tomasz Lichoń is big data engineer and team leader at VirtusLab, in where he’s involved in building data lake and data processing pipelines using Hadoop…                                                            
                                                        
                                                        
                                                            Read more                                                            
                                                        
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