BIG DATA CONFERENCE

EUROPE 2020

November 24-26

Online

SCHEDULE

Workshops (November 24)

Each workshop has a different unique link and password for attendance. If you hold a ticket that includes workshop – between 19-22th of November you should receive an email with the link and password to login. In case you will not – please check your SPAM or approach us via email tickets@bigdataconference.eu or call +370 695 65000

You can register for 1 full-day workshop.
Have your ticket but didn’t register to the workshop? Register here.

Time: 10:00 – 17:30 (GMT+2)

9:00 – 10:00 Registration
10:00 Start of the workshop
11:30 – 11:40 Break
13:00 – 14:00 Lunch
15:20 – 15:30 Break
17:00 End of the workshop

Stream Processing Essentials

Nicolas Fränkel & Vladimir Schreiner

Hazelcast

Read More »

Zoom Meeting ID: 954 7741 0116

Building a Data Catalog

Mandy Chessell

ODPi TSC & ODPi Egeria & IBM, UK

Read More »

Zoom Meeting ID: 995 3635 7898

Zoom Meeting ID: 996 9732 9857

1st Conference Day (November 25)

LOGIN

Please login with Credentials you received via email. If you did not get it – please check spam. In case of email absence – please approach us immediately by email tickets@bigdataconference.eu or call +3706 95 65000.

The Credentials are unique, therefore you will not be able to use the same Credentials for few people.

TECHNICAL SUPPORT

For live stream technical support, please contact via phone +370 5 2595059 or email pagalba@konferenta.lt.

Web browser with HTML5 and H.264 video support (the latest version of Google Chrome is recommended for compatibility)

Cookies are required for the functionality of the live stream.

Time Track 1 Track 2 Track 3 Track 4
08:00 - 09:00 (GMT+2) Registration
09:00 - 10:00 (GMT+2)
OPENING KEYNOTE:
Growth Reinvented - Turn Your Data and AI into Money
Mika Ruokonen
Futurice
Business Model Innovation
Big Data
AI
10:05 - 10:50 (GMT+2) Streaming Processing - an Overview of the Concepts, Architecture and Technology of Doing Data Science on Real-Time Data
Bas Geerdink
Aizonic
Streaming
AI
Track 1
Analyzing Public Data About User Queries on Search Engine to Predict Trends and Evaluate Markets
Paolo Dello Vicario
ByTek
NLP
Clustering
Time Series
SEO
Track 2
Redis: a Multi-Model DB for IoT and Beyond
Dr. Christoph Zimmermann
Redis Labs
NoSQL
IoT
Redis
Track 3
Covid-19: Big Data Analytics and Artificial Intelligence
Cristian Randieri
Intellisystem Technologies
Analytics
AI
Coronavirus
Track 4
10:50 - 11:05 (GMT+2) Morning Break
11:05 - 11:50 (GMT+2) Processing Billions of Events a Day Using Kafka and Kafka Streams
Carlos Manuel Duclos-Vergara
Schibsted
Kafka
Streaming
Schibsted
Track 1
Designing and Building Data Science Solutions
Jonathan Leslie
Neri Van Otten
Pivigo; Spot Intelligence
Data Science
Strategy
Track 2
TBA
Data Governance From an Engineering Perspective
Valdas Maksimavicius
Cognizant
Metadata
Data Governance
Compliance
Track 4
11:55 - 12:40 (GMT+2) Real-Time Stream Processing for Insurance & Health Care With Kafka, Kafka Streams and Multi-Runtime Microservices
Cristian Prevedello
PREVINET
Microservices
Streaming
Kafka
Kubernetes
Track 1
Exoplanet Detection using Machine Learning
Abhishek Malik
Hawk:AI
AI
Time Series
Planet Detection
Track 2
Data Versioning - What Does it Mean?
Einat Orr
Treeverse
Data Lake
Data Versioning
Track 3
The GDPR Challenges to Big Data, and How to Overcome Them
Silvan Jongerius
TechGDPR
Privacy
GDPR
Data Markets
Track 4
12:40 - 13:40 (GMT+2) Virtual Café: Preparing Data for Analytics
Sonal Goyal
Virtual Cafés
Lunch Break
13:40 - 14:25 (GMT+2) Real-Time Streaming with Python ML Inference
Marko Topolnik
Hazelcast
Java
Python
ML
Streaming
Track 1
Advanced Analytics in the Industry
Antía Fernández
GRADIANT
IoT
AI
Track 2
An Experiment in Continuous Deployment of JVM applications
Nicolas Fränkel
Hazelcast
Data Streaming
Stream Processing
Continuous Deployment
Track 4
Adding AI Cloud Services to Your On-Prem Data Workflows for NLP & Content Enrichment
Daniel Wrigley
SHI GmbH
Cloud
Streaming
NLP
NiFi
Track 4
14:30 - 15:15 (GMT+2) Introduction to FLaNK Stack
Timothy J Spann
Cloudera
NiFi
Streaming
Kafka
Kudu
Flink
Track 1
5 Pillars of User-Centric Analytics
Alex Sanginov
ServiceNow
Analytics Strategy
Analytics Workflows
AI
Track 2
Azure Synapse Analytics Overview
James Serra
Microsoft
Data Lake Azure Synapse Analytics
Track 3
Big Data Architecture in the Advertising Industry
Marçal Serrate
Hybrid Theory
Architecture
Kafka
Spark
Ml
Track 4
15:15 - 15:30 (GMT+2) Afternoon Break
15:30 - 16:15 (GMT+2)
CLOSING KEYNOTE:
Making Data Downtime a Pillar of Your Data Strategy
Barr Moses
Monte Carlo
Data Reliability
Data Quality
Data Strategy

2nd Conference Day (November 26)

LOGIN

Please login with Credentials you received via email. If you did not get it – please check spam. In case of email absence – please approach us immediately by email tickets@bigdataconference.eu or call +3706 95 65000.

The Credentials are unique, therefore you will not be able to use the same Credentials for few people.

TECHNICAL SUPPORT

For live stream technical support, please contact via phone +370 5 2595059 or email pagalba@konferenta.lt.

Web browser with HTML5 and H.264 video support (the latest version of Google Chrome is recommended for compatibility)

Cookies are required for the functionality of the live stream.

Time Track 1 Track 2 Track 3 Track 4
08:00 - 09:00 (GMT+2) Registration
09:00 - 10:00 (GMT+2)
OPENING KEYNOTE:
Introduction to Data Streaming
Nicolas Fränkel
Hazelcast
Data Streaming
Stream Processing
10:05 - 10:50 (GMT+2) Kafka as a Platform: the Ecosystem from the Ground Up
Robin Moffatt
Confluent
Kafka
Streaming
Track 1
From Internet Access Devices Usage to Behavioural Model
Tomasz Bąk
Digital Fingerprints
AI
Big Scale Model Training
Behavioral biometrics
Track 2
Supercharge your Data Analytics with BigQuery ML
Marton Kodok
REEA
Cloud
ML
Databases
BigQuery
Track 3
Stopping Public Transport Coronavirus Infections with Big Data
Tim Frey
iunera GmbH & Co. KG
Forecasting
Coronavirus
Public Transport
Track 4
10:50 - 11:05 (GMT+2) Morning Break
11:05 - 11:50 (GMT+2) Towards Enterprise-Grade Data Discovery at ING with Apache Atlas and Amundsen
Verdan Mahmood
ING Bank
Data Discovery
Governance
Atlas
Amundsen
Track 1
Data Science Case Studies and Formulation of AI Roadmap
Kane Wu
ThinkCol
Machine Learning
Data Science<
Track 2
Interactive BI Analytics with Presto
Łukasz Osipiuk
Karol Sobczak
Starburstdata
Real Time BI
Data Federation
Delta Lake
Presto
Track 3
TBA
11:55 - 12:40 (GMT+2) Kotlin for Apache Spark: Love to Frankenstein's Monster
Pasha Finkelshteyn
JetBrains
Data Engineering
Kotlin
Spark
Track 1
From the Earth to the Moon: Lessons from the Space Race to Apply in Machine Learning Projects
Diego Hueltes
RavenPack
AI
Machine Learning
Project Management
Track 2
Scalable ML Pipelines for Enterprise Data Mastering
Sonal Goyal
Nube Technologies
Master Data Management
ML
Entity resolution
Schema Mapping
Track 3
From Zero to Hero with Kafka Connect
Robin Moffatt
Confluent
Kafka Connect
Data Integration
CDC
Track 4
12:40 - 13:40 (GMT+2) Virtual Café: Ad-Hoc Analytics
Pasha Finkelshteyn
Virtual Cafés
Lunch Break
13:40 - 14:25 (GMT+2) Orchestrating Data Workflows Using a Fully Serverless Architecture
Tomer Levi
Fundbox
Serverless
AWS
Docker
Spark
Fintech
Track 1
In the Shallow with AI
Audrey Lobo-Pulo
Phoensight
AI
AI ethics
Human-in-the-loop
socio-technology
Track 2
Graph Processing for Open Metadata and Governance
Mandy Chessell
ODPi TSC & ODPi Egeria & IBM
Metadata
Governance
Open Source
Track 3
Trust and Quality in the Era of Software 2.0
Yiannis Kanellopoulos
Code4Thought
AI Accountability
AI Fairness
AI Transparency
Track 4
14:30 - 15:15 (GMT+2) Best Practices for Building Streaming Data Architectures
Ricardo Ferreira
Elastic
Streaming Analytics
Kafka
Kinesis
Pulsar
Track 1
A Recipe for Innovation: Recommending Recipes Based on Adventurousness
Kim Nilsson & Robert Grieg-Gran
Pivigo
Data Science
Recommender System
Churn
Track 2
The Intuition Behind the Use of M.L. in Marketing Analytics
Mario A Vinasco
Credit Sesame
ML
Marketing Analytics
Targeting
Track 3
Fixing the Problems with Face Recognition Using Modern Cryptography Flows
Nezare Chafni
Trueface
Face Recognition
Privacy by Design
Cryptography
Track 4
15:15 - 15:30 (GMT+2) Afternoon Break
15:30 - 16:15 (GMT+2)
CLOSING KEYNOTE:
LF AI and Data - the Home for Open Source AI, BU, DL, ML, and Data Management
John Mertic
Linux Foundation
ODPi Egeria
Open Source