DataMass Gdańsk Summit 2022 is coming
phone: +48 570 272 723
e-mail: kamil.piotrowski@evention.pl

DATAMASS
GDANSK
SUMMIT

29.09 - Workshop Day

30.09 - Conference Day

CLOUD
AGAINST DATA

Let's discover Big Data and Machine Learning in the contex Cloud Solutions! We are coming back to Gdansk! Note that we are not transmitting anything!

DataMass Summit is not just another conference – it is an event created with passion. The Summit is aimed at people who use the cloud in their daily work to solve Big Data, Data Science, Machine Learning and AI problems. The main idea of the conference is to promote knowledge and experience in designing and implementing tools for solving difficult and interesting challenges.

This year we are coming back after a long break forced by a pandemic, in a classic on-site form. And we have great news for You! We joined forces with GetInData and Evention (kudos to Adam Kawa for making it possible), who for years have been organizing the Big Data Technology Warsaw Summit, the largest BigData conference in Poland. So for you, our event will be even more interesting and even stronger in terms of content.

We are planning two days, the first day is devoted to technical workshops conducted by practitioners. The second day includes conference presentations by renowned experts in Big Data, Data Science, Machine Learning and AI, all in the context of cloud solutions.

Do come and join us!

check previous edition of datamass gdansk summit

Selection committee DataMass Gdansk Summit 2022:

Mariusz Domzalski, PhD

Head of Data Science

DataMass

Adam Kawa

CEO and Co-founder

GetInData

Tomasz Stachlewski


Amazon Web Service

Michal Zylinski


Google Cloud Platform

speakers

Michał Bryś

Machine Learning Engineer

Getindata

Piotr Chaberski

Senior Data Scientist

GetInData

Kate Darnell

Data Developer

Shopify

Pierre de Leusse

Data Engineering Director

PepsiCo

Adrian Dembek

Senior Data Scientist

GetInData

Mariusz Domzalski, PhD

Head of Data Science

DataMass

Tomasz Dudek

Solutions Architect

Chaos Gears

Kamil Dziublinski

Director of Engineering

Xapo

Luboslav Gabal

Division Director

Adastra Slovakia

Alicja Grochocka

Associate, IAM Secrets and Encryption Svc

Investment Banking Sector

Grzegorz Gwozdz

Enterprise Architect

Vectra S.A.

Szymon Homa

Agile programmer, leader, mentor

Starburst

Lukasz Hunka

Director of SME Risk & Analytics

PKO Bank Polski

Marcin Kaptur

Solution Product Manager

Ringier Axel Springer Poland

Olga Kulesza

Data Engineer

Orange

Lukasz Malinowski

Consultant

Amazon Web Service

Maciej Marek

Senior Data Scientist, CI/CD best practices evangelist, and a trainer.

SGPR.TECH

Filip Mordarski

Machine Learning Engineer

Orange

Michał Rudko

Data Analyst / Architect

GetInData

Radosław Stankiewicz

Strategic Cloud Engineer

Google

Marcin Szeliga

Freelancer Data Scientist

WSB University

Dmitry Ulyanov

eCommerce Engineering Head

PepsiCo

Mariusz Zaręba

Data Engineer

GetInData

agenda

30.09.2022 - CONFERENCE DAY

PLENARY SESSION

9.00 - 9.10
Sesja plenarna
Opening
Head of Data Science
DataMass
CEO and Co-founder
GetInData
CEO, Meeting Designner
Evention
9.10 - 9.40
Sesja plenarna
Data Infrastructure in a Multi-Cloud environment MultiCloud
Director Of Engineering
Datadog
9.40 - 10.05
Sesja plenarna
TBA
10.05 - 10.30
Sesja plenarna
Bank Analytics in the Cloud Google Cloud
Director of SME Risk & Analytics
PKO Bank Polski
10.30 - 10.50
Sesja plenarna
TBA
10.50 - 11.10

COFFEE BREAK

PARALLEL SESSION 1

PARALLEL SESSION 2

11:10 - 11:30
Sesja równoległa
Accelerating Data Solution Migration to the Cloud MultiCloud
Division Director
Adastra Slovakia
Sesja równoległa
TBA
11:35 - 11:55
Sesja równoległa
How to process 33bln events from set top boxes in under 4 minutes Google Cloud
Enterprise Architect
Vectra S.A.
Sesja równoległa
Data engineering at the scale of PepsiCo eCommerce, 3 years of experience MultiCloud
Data Engineering Director
PepsiCo
eCommerce Engineering Head
PepsiCo
12:00 - 12:20
Sesja równolegla
TBA
Sesja równoległa
TBA
12:25 - 12:45
Sesja równoległa
Don’t go with the flow. How did Ringier Axel Springer moved its data to the cloud? AWS
Solution Product Manager
Ringier Axel Springer Poland
Sesja równoległa
Medical Image Analysis using Auto ML Azure
Freelancer Data Scientist
WSB University
12:50- 13:10
Sesja plenarna
TBA
Sesja plenarna
TBA
13:10 - 14:00

LUNCH

PLENARY SESSION

14:00 - 14:20
Sesja plenarna
TBA

PARALLEL SESSION 1

PARALLEL SESSION 2

14:20 - 14:40
Sesja rownoległa
IoT as a data pipe between the physical world and the cloud AWS
Consultant
Amazon Web Service
Sesja równolegla
Peer beneath the surface of the Earth in the clouds MultiCloud
Senior Data Scientist, CI/CD best practices evangelist, and a trainer.
SGPR.TECH
14:45 - 15:05
Sesja równoległa
Running Apache Flink in any cloud environment MultiCloud
Flink Tech Lead
Apple
Sesja równoległa
Anomaly Detection in Network with the use of ML Pipeline in Vertex AI Google Cloud
Data Engineer
Orange
Machine Learning Engineer
Orange
15:10 - 15:30
Sesja plenarna
Data Platform - what does it take to be called a modern one? A new stack with well-known best practices MultiCloud
Data Analyst / Architect
GetInData
Sesja równoległa
4 ways to deploy a ML model on Amazon SageMaker AWS
Solutions Architect
Chaos Gears
15:30 - 16:15

COFFEE BREAK

PARALLEL SESSION 1

PARALLEL SESSION 2

16:15- 16:35
Sesja równoległa
Data Mesh concept, executed by Trino MultiCloud
Agile programmer, leader, mentor
Starburst
Sesja równoległa
From a machine learning competition to an enterprise analytics framework Google Cloud
Senior Data Scientist
GetInData
Senior Data Scientist
GetInData
16:40-17:00
Sesja plenarna
Engineering Risk Assessment - how to measure the risk in enterprise IT infrastructure MultiCloud
Associate, IAM Secrets and Encryption Svc
Investment Banking Sector
Sesja plenarna
Breaking the stormy antipattern - from bad design to cloud native on Beam Google Cloud

This is a story about customer's implementation of complex event processing system running in very bad setup on Storm and how we manage to build clean design on Dataflow while maintaining core requirements.

Strategic Cloud Engineer
Google
17:05-17:25
Sesja plenarna
The road to world-class observability MultiCloud

In this talk, you will learn about the road to world-class observability of distributed and scalable systems. In this talk, you will:
- Learn about various stages of monitoring maturity
- Discover at what stage you are and learn how to get to the next level
- Learn about the monitoring prioritization pyramid
- Get best practices and tools recommendations to help you on your observability improvement journey
- Understand how to scale your observability in sync with your company

Director of Engineering
Xapo
Sesja plenarna
Spark vs. Bigquery vs. Trino: Shopify’s journey of SQL transformations at scale Google Cloud
Data Developer
Shopify
17:25-17:35

COFFEE BREAK

PLENARY SESSION

17:35 - 18.05
Sesja plenarna
Introduction to Causal Inference in the Ride-Hailing Business AWS
Data Scientist
Free Now
18.05 - 18.15
Sesja plenarna
Summary and closing the meeting
Head of Data Science
DataMass
CEO and Co-founder
GetInData
CEO, Meeting Designner
Evention

Elevator Pitch

During DATAMASS we will present either short presentation in the „case study” formula during a special coffee break activating participants to networking. Cooperate with us in accordance with the motto of Evention „time engaged” - take part in ELEVATOR PITCH and with the spirit of the principle „maximum concrete in minimum time” convince participants in 7 minutes to your idea / solution / project / technology.
Stand out from other companies and solutions!

Independent Workshops, 29.09.2022 (Thursday)

 

During DATAMASS there will be 3 parallel workshops (additionally payable), each for a maximum of 25 participants

When/Where? September 29, Conference Center of Museum of The Second World War, Gdańsk

From 9 a.m. to 4 p.m (including lunch and coffee breaks), onsite

Build reliable data pipelines using Modern Data Stack in the cloud


DETAILS:

In this one-day workshop, you will learn how to create modern data transformation pipelines managed by dbt and orchestrated with Apache Airflow.


SESSION LEADER:

Data Engineer
GetInData

(Near) Real-time data processing in the cloud using Spark Structured Streaming and SparkML


DETAILS:

The subject of this workshop is real-time data analysis using Spark Streaming. We'll cover how Spark streaming works and how it can be used in machine learning systems.


SESSION LEADERS:

Head of Data Science
DataMass

Machine Learning Operations (MLOps)


DETAILS:

In this one-day workshop, you will learn how to operationalize Machine Learning models using popular open-source tools, like Kedro and Kubeflow, and deploy it using cloud computing.


SESSION LEADERS:

Machine Learning Engineer
Getindata

sponsors

PLATINUM

GOLD

SILVER

PARTNERS

technologies we use

Organizers

Gold Strategic Partner

Silver Content Partners

Supporting Partners

tickets

Early Bird
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Standart Pass
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Last Call
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ADDRESS:

Conference Center of  Museum of The Second World War

pl. Bartoszewskiego 1
80-862 Gdańsk

contact

DataMass strives to provide the best service possible with every contact!

BECOME A DATAMASS GDANSK SUMMIT PARTNER!

Mariola Rauzer

m: +48 509 622 541
e: mariola.rauzer@evention.pl

Dominika Opoka

m: +48 604 112 883
e: dominika.opoka@evention.pl

CONTACT FOR ORGANIZATIONAL MATTERS

Kamil Piotrowski

+48 570 272 723

kamil.piotrowski@evention.pl

CONTACT FOR PARTICIPANTS

Weronika Warpas

+48 570 611 811

weronika.warpas@evention.pl