DataMass

0:00:35

DataMass Gdańsk Summit 2022

0:34:12

DataMass 2018: Kamil Folkert - Five things to consider when you plan to discover and automate...

0:01:56

DataMass Gdańsk Summit 2019

0:40:15

DataMass 2017 Claudio Villar - Machine Learning for product development

0:01:08

DataMass Gdansk Summit 2017

0:50:12

DataMass 2017 Piotr Czarnas - Kappa Architecture for event processing

0:56:59

DataMass 2017 Jakub Nowacki - Real-Time Machine Learning in Streaming Data Pipelines

0:41:29

DataMass 2017 Agnieszka Potulska & Tylenda Piotr -Log Analytics in Datacenter

0:48:57

DataMass 2017 Michał Żyliński - Deploying lambda architecture on top of Microsoft Azure platform

0:40:25

DataMass 2017 Jakub Dąbkowski - Dreamer's guide to big data

0:36:38

DataMass 2018: Balázs Gáspár - Building a Cloud Data Warehouse with a Shared Data Experience

0:30:45

DataMass 2017 Wojciech Pituła - Why do we need 9 different data processing engines?

0:42:10

DataMass 2017 Łukasz Ćmielowski - Watson Machine Learning

0:46:12

DataMass 2017 Tomasz Żukowski & Piotr Krewski - Truecaller - towards a data-driven company

1:15:43

DataMass Meetup #2: Kafka for beginners

1:02:22

DataMass Meetup #1: Deep learning - an introduction

0:38:36

DataMass 2017 Tomasz Szczechura - Skalowalny OLAP

0:35:03

DataMass 2017 Maciej Godek - The Principles of Functional Programming

0:37:31

DataMass 2017 Balazs Gaspar - Data Science with Cloudera

0:55:24

DataMass 2017 Tomasz Sosiński - Machine Learning on Streams of Data

0:38:03

DataMass Summit 2018: Bill Wilson - Data ethics: from compliance to data trust

0:45:05

DataMass 2017 Mirosław Walukiewicz - Accelerating BigData workloads

0:33:30

DataMass 2017 Michal Adamski - Designing for Business: Customer Centric Self-Service BI

0:33:36

DataMass 2017 Łukasz Grala - Machine Learning for Big Data in SQL Server