27-29 November, Vilnius

VENUE: Multikino, Ozo str. 18

Conference is over. See you next year!

27-29 November, Vilnius

VENUE: Multikino, Ozo str. 18

Conference is over. See you next year!

ABOUT THE CONFERENCE

Big Data Conference Vilnius is a three-day conference with technical talks in the fields of Big Data, High Load, Data Science, Machine Learning and AI.

Conference brings together developers, IT professionals and users to share their experience, discuss best practices, describe use cases and business applications related to their successes.

The event is designed to educate, inform and inspire – organized by people who are passionate about Big Data and Data Exploration. We look forward to seeing you there!

WHY TO ATTEND?

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Meet 40+ international speakers who work in top data-driven companies.

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Join 3 technical tracks that cover the most important and up-to-date aspects of Big Data, including deep learning, real-time stream processing, data science, predictive analytics and cloud.

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Hear carefully selected purely technical and independent content.

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Network with 450+ participants from various companies that use Big Data in production.

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Select among 8 full-day technical Pre-Conference Workshops.

CONFERENCE PROGRAM

Workshops Program (Nov 27)*

* Attention! Essentials for Apache Hadoop and Hadoop Ecosystem (LT) by Ernestas Sysojevas has been preponed from 27 November to 26 November.

Venue Crowne Plaza Vilnius - M. K. Čiurlionio str. 84, Vilnius
09:30 - 10:00
Registration
Introduction to Deep Learning with TensorFlow
by OLIVER ZEIGERMANN


Machine Learning for non-Data Scientist: Smart Decisions Game
by TETIANA HLADKYKH & DMYTRO ZIKRACH


Essentials for Apache Hadoop and Hadoop Ecosystem (LT)
(Nov 26)
by ERNESTAS SYSOJEVAS


Time Series Forecast
by VALENTINA DJORDJEVIC


Apache Airflow hands on
by GERARD TOONSTRA


Bayesian Hierarchical Model for Predictive Analysis
by AMIR MEIMAND


Introduction to web crawling with StormCrawler (and Elasticsearch)
by JULIEN NIOCHE
10:00 - 11:30
1st PART of the workshop
11:30 - 11:45
Coffee Break
11:45 - 13:15
2nd PART of the workshop
13:15 - 14:15
Lunch Break
14:15 - 15:45
3rd PART of the workshop
15:45 - 16:00
Coffee Break
16:00 - 17:30
4th PART of the workshop
Crowne Plaza Vilnius - M. K. Čiurlionio str. 84, Vilnius
Introduction to Deep Learning with TensorFlow
by OLIVER ZEIGERMANN

Machine Learning for non-Data Scientist: Smart Decisions Game
by TETIANA HLADKYKH & DMYTRO ZIKRACH

Essentials for Apache Hadoop and Hadoop Ecosystem (LT) (Nov 26)
by ERNESTAS SYSOJEVAS

Time Series Forecast
by VALENTINA DJORDJEVIC

Apache Airflow hands on
by GERARD TOONSTRA

Bayesian Hierarchical Model for Predictive Analysis
by AMIR MEIMAND

Introduction to web crawling with StormCrawler (and Elasticsearch)
by JULIEN NIOCHE
Workshops Program
09:30 - 10:00
Registration
10:00 - 11:30
1st PART of the workshop
11:30 - 11:45
Coffee Break
11:45 - 13:15
2nd PART of the workshop
13:15 - 14:15
Lunch Break
14:15 - 15:45
3rd PART of the workshop
15:45 - 16:00
Coffee Break
16:00 - 17:30
4th PART of the workshop

1st Conference Day (Nov 28)

Hall 5Hall 6Hall 1
08:00 - 08:50
Registration
08:50 - 09:10
Warm Up!

Hall 5
09:10 - 10:00
OPENING KEYNOTE:

Winning Ways for Your Visualization Plays
Mark Grundland
Hall 5

10:10 - 10:55
When To Use Machine Learning: Tips, Tricks and Warnings
Pascal van Kooten
Hall 5

Apache Metron in the Real World - Big Data and Cybersecurity, a Perfect Match
Dave Russell
Hall 6

The Events Must Flow: Lessons Learnt Evolving the Spotify’s Event Delivery System
Nelson Arape
Hall 1

10:55 - 11:20
Morning Break
11:20 - 12:05
Anomaly Detection in Telecommunications
Valentina Djordjevic
Hall 5

Deepmind: Alpha Go to Alpha Zero
Juan Tomas Garcia
Hall 6

MySQL Ecosystem in 2018
Laurynas Biveinis
Hall 1

12:15 - 13:00
Working with Outliers and Time Series Shocks
Michael Grogan
Hall 5

Racing an Autonous Toy Car from Scratch Powered by Machine Learning
Constant Bridon
Hall 6

Productionizing H2O Models with Apache Spark
Jakub Hava
Hall 1

13:00 - 14:00
Lunch Break
14:00 - 14:45
Evidence-Driven Decision Making
Ahmed Elragal
Hall 5

Docker Data Science Pipeline
Lennard Cornelis
Hall 6

Agile Data Architecture
Gerard Toonstra
Hall 1

14:50 - 15:35
(UPDATE) Reinforcement Learning: a Gentle Introduction with a Real Application
Christian Hidber
Hall 5

(UPDATE) Comparing Machine Learning Strategies using Scikit-learn and TensorFlow
Oliver Zeigermann
Hall 6

TBA
Hall 1

15:35 - 15:55
Afternoon Break
15:55 - 16:40
Deep Learning for Recommender Systems
Oliver Gindele
Hall 5

Putting the Spark in Functional Fashion Tech Analytics
Gareth Rogers
Hall 6

Market that Doesn’t Exist. How to Promote and Sell ‘Artificial Intelligence’?
Dmytro Bilash
Hall 1

16:45 - 17:30
CLOSING KEYNOTE:

Data Science for Lazy People, Automated Machine Learning
Diego Hueltes
Hall 5

2nd Conference Day (Nov 29)

Hall 5Hall 6Hall 1
08:00 - 09:00
Registration
09:00 - 10:00
OPENING KEYNOTE:

(UPDATE) How to Create Data Science Product from Scratch?
Dmytro Bilash
Hall 5

10:10 - 10:55
Production Ready Data-Science with Python and Luigi
Mark Keinhorster
Hall 5

It is about Augmented Intelligence, not Artificial Intelligence
Santiago Cabrera-Naranjo
Hall 6

Machine Learning Acceleration using FPGAs in the Cloud
Christoforos Kachris
Hall 1

10:55 - 11:20
Morning Break
11:20 - 12:05
Employee Dismissal Predictive Analytics
Dmytro Zikrach & Tetiana Gladkykh
Hall 5

Deploying Large Spark Models to Production and Model Scoring in Near Real Time
Subhojit Banerjee
Hall 6

Post-Blackbox AI
Ulf Schoneberg
Hall 1

12:15 - 13:00
Predicting the Extra Virgin Olive Oil Price using Deep Learning Approach
Diego Hueltes
Hall 5

A Model-Based Recommendation Systems for B2B eCommerce with Clustering and Association Rules Mining
Amir Meimand
Hall 6

Infrastructure for Auto Scaling Distributed System
Kai Sasaki
Hall 1

13:00 - 14:00
Lunch Break
14:00 - 14:45
How Does Full-Text Search Work under the Hood
Philipp Krenn
Hall 5

Making Data Scientists Productive in Azure
Valdas Maksimavicius
Hall 6

Design Philosophy of Apache Airflow ETL pipelines
Gerard Toonstra
Hall 1

14:50 - 15:35
Data and Analytics in Production at Scale
Allison Nau
Hall 5

Machine Learning and Genetics
Luis Voloch
Hall 6

Airflow, Spark, EMR - Building a Batch Data Pipeline
Emma Tang
Hall 1

15:35 - 15:55
Afternoon Break
15:55 - 16:15
BIG DATA Challenge

Hall 5
16:15 - 17:00
CLOSING KEYNOTE:

Machine Learning from Idea to Production
Oliver Zeigermann
Hall 5

CONFIRMED TALKS

WHO’S SPEAKING?

KEYNOTE SPEAKERS

Dmytro Bilash

Captain Growth, Ukraine

OLIVER ZEIGERMANN

Freelancer, Germany

DIEGO HUELTES

RavenPack, Spain

MARK GRUNDLAND

Functional Elegance, UK

CONFERENCE SPEAKERS

DAVE RUSSEL

Hortonworks, UK

PHILIPP KRENN

Elastic, Austria

VALENTINA DJORDJEVIC

Things Solver, Serbia

JAKUB HAVA

H2O.ai, Czech Republic

CHRISTIAN HIDBER

bSquare, Switzerland

GERARD TOONSTRA

BigData Republic, The Netherlands

CHRIS CHABOT

Resin.io, UK

NELSON ARAPE

Spotify, Sweden

FULL-DAY WORKSHOPS (Nov 27)

Due to high number of attendees, we have a very limited number of open seats and rely on first-come, first-served basis.

Workshops venue: Crowne Plaza Vilnius – M. K. Čiurlionio str. 84, Vilnius, Lithuania.

* Attention! Essentials for Apache Hadoop and Hadoop Ecosystem (LT) by Ernestas Sysojevas has been preponed from 27 November to 26 November.

Introduction to Deep Learning with TensorFlow

OLIVER ZEIGERMANN (SOLD OUT)

Deep Learning is a special and most promising variant of Supervised Machine Learning. Most recent break-throughs have been fueled by instead of programming a system, you instead use known data to train a system, like you do in deep learning. We will touch classic Neural…

Machine Learning for non-Data Scientist: Smart Decisions Game

TETIANA HLADKYKH & DMYTRO ZIKRACH

The purpose of our workshop “Machine Learning for non-Data Scientist: Smart Decisions Game” is the presentation of a new, game-based, approach to the designing ML systems. During the workshop, participants will play a card game that allows modeling the decision…

Essentials for Apache Hadoop and Hadoop Ecosystem (LT)

ERNESTAS SYSOJEVAS (Nov 26)

Learn how Apache Hadoop addresses the limitations of traditional computing, helps businesses overcome real challenges, and powers new types of big data analytics. This workshop introduces Apache Hadoop ecosystem and outlines how to prepare the…

CERTIFIED TRAINING COURSES

Hone your big data tech skills with the world’s leading experts.

Cloudera Administrator Training for Apache Hadoop

Cloudera Data
Analyst Training

Cloudera Developer Training for Spark & Hadoop

TICKETS

Groups of 10+ attendees will receive additional 10% discount. To request the invoice for Full ticket, please contact us at bigdata@dataminer.lt. For purchasing 15+ tickets or to request a Proforma invoice for any ticket(s), find more information here. If you have any other questions, please call +370 618 00 999.

Full pass

STANDART PRICE

456 €

BEST CHOICE!

  • Workshop ticket
  • Two-day Conference ticket
  • Coffee breaks & lunch
  • Event Date: November 27-29


Price excl. VAT

WORKSHOP

STANDART PRICE

249 €
  • One full-day
    workshop
  • Coffee breaks & lunch
  • Event Date: November 27

 


VAT not applicable

1-DAY CONFERENCE

STANDART PRICE

199 €
  • One day of
    sessions
  • Coffee breaks & lunch
  • Event Date: November 28 or 29

Price excl. VAT

2-DAY CONFERENCE

STANDART PRICE

329 €
  • Two days of
    sessions
  • Coffee breaks & lunch
  • Event Date: November 28 – 29

Price excl. VAT

OUR SPONSORS

BECOME A SPONSOR

You are invited to be a part of an exciting event: actively contribute to the success of Big Data Vilnius 2018 Conference, target a specific, high profile market and reinforce your brand’s presence by making yourself known among software testing and quality assurance audience. Do not miss out on the opportunity to be noticed and get involved in this event.

To become a sponsor, please take a look at the available sponsorship plans.

BECOME A VOLUNTEER

We are looking for enthusiastic supporters to help for the upcoming BIG DATA Conference Vilnius 2018 on November 27-29. All accepted volunteers will receive a free ticket for the conference and much more in return. To become a Helper, please fill the registration form.

CALL FOR PAPERS

Become a part of something truly special – speak at the Big Data Conference in Vilnius, Lithuania and engage with Big Data community by sharing your knowledge, experience, thoughts and innovative solutions.

Submissions are welcomed from Developers, IT Professionals, IT Managers, Consultants, Trainers and especially those who would like to experience themselves as a trainers and anyone with interesting experience about Big Data, High Load, Data Science, Machine Learning technologies, tools, approach or solutions.

Read More information or click the button below to fill the form.

THROWBACK TO ’17

Check out the gallery from our previous conference held in November, 2017.
Click here to enter the full gallery.

You'll fall in love with Vilnius!

Discover

OUR UPCOMING CONFERENCES

VENUES

Venue – Conference (28-29 November)

Multikino

Ozo str. 18, LT–08243 Vilnius, Lithuania

Multikino

Ozo str. 18, LT–08243 Vilnius

Venue – Workshops (27 November)*

Crowne Plaza Vilnius

M. K. Čiurlionio str. 84, Vilnius, Lithuania

Crowne Plaza Vilnius

M. K. Čiurlionio g. 84, Vilnius 03100

* Attention! Essentials for Apache Hadoop and Hadoop Ecosystem (LT) by Ernestas Sysojevas has been preponed from 27 November to 26 November.