Cowboy Dating with Big Data or DWH Evolution in Action

This #TechTalks Odessa we will devote Big Data. We have invited Boris Trofimov to tell you how to work with Big Data. We will examine with him the traps and bad examples to find the right solution. Boris tells us about: – Shared storage in Big Data – Scheduling – Monolithic and decoupling data platforms – Aggregating and its common pitfalls – Availability, its needs and problems – Data Governance About the speaker:  Boris Trofimov is a leading expert on Big Data, working with Verizon / Yahoo / AOL, co-founder of Odessa JUG, passionate follower of Scala, associate Professor of ONPU, an employee of Sigma Where: Bunina str., 1 (Lohika Odesa) When: 29.01.2020 at 19:00 Entrance: free, with prior registration Language of the report: Russian Registration is required Registration for an offline event => https://bit.ly/2tguTJf Registration for online broadcast => https://bit.ly/3844JYN ! Attention! Technicians upon registration are given preference! Join to listen to the report from Big Data-high-level experts and share best practices! ________________________________________________________________ The next #TechTalks Odessa will be dedicated to Big Data. We invited Boris Trofimov to tell us how to introduce (use) of big data. We will run through the pitfalls and bad practices to find the right path. Boris is going to tell us about: – Shared storage in Big Data – Scheduling – Monolithic and decoupling data platforms – Aggregating and its common pitfalls – Availability, its needs and problems – Data Governance Who will speak:  Boris Trofimov – Big Data competence lead, worked with the Verizon/Yahoo/AOL, Collective Cofounder of Odessa JUG, passionate follower of Scala, associate professor at ONPU, Sigma employee 헪헵헲헿헲: 1, Bunina str (Lohika Odesa office) 헪헵헲헻: 29.01.2019 at 19:00 험헻혁헿헮헻헰헲: Free 헟헮헻헴혂헮헴헲: Russian 헥헲헴헶혀혁헿헮혁헶헼헻 is obligatory Registration for offline event => https://bit.ly/2tguTJf Those who can't attend the event are welcome to register for the online streaming => https://bit.ly/3844JYN ! Please note that technical specialists will be preferred while registering! Join us to listen to the report from the high level Big Data expert and exchange of best experiences!