BIG DATA CONFERENCE

EUROPE 2020

November 24-26

Online

SCHEDULE

Workshops (November 24)

Workshops are soon to be announced.

Time: 10:00 – 17:30 (GMT+2)

1st Conference Day (November 25)

Time Virtual Cafés Track 1 Track 2 Track 3 Track 4
08:00 - 09:00 (GMT +2) Registration
09:00 - 10:00 (GMT +2)
OPENING KEYNOTE:
TBA
10:05 - 10:50 (GMT +2) Virtual Café
Topic and Host
TBA
Virtual Cafés
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) Virtual Café
Topic and Host
TBA
Virtual Cafés
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
ML in Production – Serverless and Painless
Oliver Gindele
Datatonic
Deep Learning Serverless Machine Learning Orchestration
Track 3
Data Governance From an Engineering Perspective
Valdas Maksimavicius
Cognizant
Metadata Data Governance Compliance
Track 4
11:55 - 12:40 (GMT +2) Virtual Café
Topic and Host
TBA
Virtual Cafés
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
Topic and Host
TBA
Virtual Cafés
Lunch Break
13:40 - 14:25 (GMT +2) Virtual Café
Topic and Host
TBA
Virtual Cafés
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
The Intuition Behind the Use of M.L. in Marketing Analytics
Mario A Vinasco
Credit Sesame
ML Marketing Analytics Targeting
Track 3
Graph Processing for Open Metadata and Governance
Mandy Chessell
UK, ODPi TSC & ODPi Egeria & IBM
Metadata Governance Open Source
Track 4
14:30 - 15:15 (GMT +2) Virtual Café
Topic and Host
TBA
Virtual Cafés
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
Adding AI Cloud Services to Your On-Prem Data Workflows for NLP & Content Enrichment
Daniel Wrigley
SHI GmbH
Cloud Streaming NLP NiFi
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 - 15:45 (GMT +2) Big Data Community Challenge
15:45 - 16:30 (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)

Time Virtual Cafés 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) Virtual Café
Topic and Host
TBA
Virtual Cafés
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) Virtual Café
Topic and Host
TBA
Virtual Cafés
Towards Enterprise-Grade Data Discovery at ING with Apache Atlas and Amundsen
Verdan Mahmood
ING Bank
Schibsted
Data Discovery Metadata Governance Atlas Amundsen
Track 1
A Recipe for Innovation: Recommending Recipes Based on Adventurousness
Kim Nilsson & Robert
Grieg-Gran
Pivigo
Data Science Recommender System Churn
Track 2
Interactive BI Analytics with Presto
Łukasz Osipiuk
Karol Sobczak
Starburstdata
Real Time BI Data Federation Delta Lake Presto
Track 3
Ethical Side of Booming AI
Jean Mauris
HRMNY Human Technologies
Ethics Al Future
Track 4
11:55 - 12:40 (GMT +2) Virtual Café
Topic and Host
TBA
Virtual Cafés
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
The Importance of Good Data Quality and Understanding of Visitor Behavior
Mats Adamczak
paf
Data Quality Behavior Economics
Track 4
12:40 - 13:40 (GMT +2) Virtual Café
Topic and Host
TBA
Virtual Cafés
Lunch Break
13:40 - 14:25 (GMT +2) Virtual Café
Topic and Host
TBA
Virtual Cafés
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
Azure Synapse Analytics Overview
James Serra
Microsoft
Data Lake Azure Synapse Analytics
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) Virtual Café
Topic and Host
TBA
Virtual Cafés
Best Practices for Building Streaming Data Architectures
Ricardo Ferreira
Elastic
Streaming Analytics Kafka Kinesis Pulsar
Track 1
Data Science Case Studies and Formulation of AI Roadmap
Kane Wu
ThinkCol
Machine Learning Data Science
Track 2
Product Management Principles to Drive Businesses in the AI Era
Adnan Boz
AI Product Institute - Silicon Valley
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:
The New ODPi - Moving from Standards to a Vendor-Neutral Home for Big Data Open Source
John Mertic
Linux Foundation
ODPi Egeria Open Sourcey