BIG DATA CONFERENCE EUROPE 2020 ONLINE: Learn more about online attendance here

BIG DATA CONFERENCE

EUROPE 2020

ONLINE

November 24-26

Online

Confirmed Talks

Łukasz Osipiuk

Software Engineer

Poland, Starburstdata

Interactive BI Analytics with Presto

During the talk Lukasz and Karol will give a quick introduction to Presto in general, as well as some of its advanced features. They will show a demo, how it works in practice.

Session Keywords
🔑 Data Science
🔑 Strategy

 Karol Sobczak

Software Engineer, Founding Member of the Starburst Team

Poland, Starburstdata

Łukasz Osipiuk

Software Engineer

Poland, Starburstdata

 Karol Sobczak

Software Engineer, Founding Member of the Starburst Team

Poland, Starburstdata

Interactive BI Analytics with Presto

During the talk Lukasz and Karol will give a quick introduction to Presto in general, as well as some of its advanced features. They will show a demo, how it works in practice.

Session Keywords
🔑 Data Science
🔑 Strategy

Jonathan Leslie

the Director of Data Science 

UK, Pivigo

Designing and Building Data Science Solutions

Jon and Neri will share their learnings about sensible approaches to designing data science projects and present a framework that they have found to be useful in giving projects the best chance for success.

Session Keywords
🔑 Real Time BI
🔑 Data Federation
🔑 Delta Lake
🔑 Presto

Neri Van Otten

CEO at Spot Intelligence

UK, Spot Intelligence

Jonathan Leslie

the Director of Data Science 

UK, Pivigo

Neri Van Otten

CEO at Spot Intelligence

UK, Spot Intelligence

Designing and Building Data Science Solutions

Jon and Neri will share their learnings about sensible approaches to designing data science projects and present a framework that they have found to be useful in giving projects the best chance for success.

Session Keywords
🔑 Real Time BI
🔑 Data Federation
🔑 Delta Lake
🔑 Presto

Daniel Wrigley

Senior Search & Analytics Consultant

Germany, SHI GmbH

Adding AI Cloud Services to Your On-Prem Data Workflows for NLP & Content Enrichment

In this presentation Daniel will show how on-premise data processing or indexing pipelines can be extended by cloud services to get more out of your unstructured data while bypassing all the above-mentioned challenges saving time and money.

Session Keywords
🔑 Cloud
🔑 Streaming
🔑 NLP
🔑 NiFi

Diego Hueltes

Machine Learning Manager

Spain, RavenPack

From the Earth to the Moon: Lessons from the Space Race to Apply in Machine Learning Projects

The space race was a EEUU – Soviet Union competition to conquer the space. This competence helped to develop space technology in an incredible manner, developing other derivative technologies as a side effect.

Session Keywords
🔑 Machine Learning
🔑 AI
🔑 Project Management

Paolo Dello Vicario

CEO

Italy, ByTek

Analyzing Public Data About User Queries on Search Engine to Predict Trends and Evaluate Markets

If we want to use words as an interest analysis tool, however, we need to analyze large volumes of data and manual analysis can be expensive and inaccurate. We Will go through this topic starting from how retrieve data and how to analyze these data with some NLP libraries.

Session Keywords
🔑 NLP
🔑 Clustering
🔑 Time Series
🔑 SEO

Silvan Jongerius

Managing Partner

Germany, TechGDPR

The GDPR Challenges to Big Data, and How to Overcome Them

During this talk, Silvan Jongerius, expert in GDPR compliance for technology will explain the obvious and not so obvious challenges of GDPR in big data, and look at different approaches to overcome them

Session Keywords
🔑 Privacy
🔑 GDPR
🔑 Data Markets

James Serra

Big Data/Data Warehouse Evangelist

USA, Microsoft

Azure Synapse Analytics Overview

James will talk about the new products and features that make up Azure Synapse Analytics and how it fits in a modern data warehouse, as well as provide demonstrations.

Session Keywords
🔑 Data Lake
🔑 Azure Synapse Analytics

Oliver Gindele

Chief Innovation Officer

Sweden, Datatonic

ML in Production – Serverless and Painless

 In this session, Oliver will walk through some of the best serverless options on how to operationalize ML pipelines within the Tensorflow ecosystem and on Google Cloud Platform, based on actual case studies.

Session Keywords
🔑 Serverless Machine Learning; Orchestration
🔑 Deep Learning

Antía Fernández

CoDirector of Intelligent Systems area at Gradiant

Spain, GRADIANT

Advanced Analytics in the Industry

There will be presented two selected cases from diverse sectors such as the automotive industry (DRAXTON-NAITEC case) or drug design (Phenobyte) that will highlight the importance of having powerful data engineering and enrich the listener’s experience.

Session Keywords
🔑 IoT
🔑 AI

Jean Mauris

Management Advisory on Digital Transformation, Serial Entrepreneur, Speaker, Mentor

Latvia, HRMNY Human Technologies

Ethical Side of Booming AI

 There is a huge ethical gap between what technology can deliver and what we really expect it do deliver. We have to turn our moral compass on. Let’s talk about human-faced side of AI.

Session Keywords
🔑 AI
🔑 Ethics
🔑 Future

Marton Kodok

Google Developer Expert(GDE) On Cloud

Romania, REEA

Supercharge your Data Analytics with BigQuery ML

We are living the era when everyday developers can build/train/run their own machine learning models straight from the database query editor, by issuing CREATE MODEL statements. In this demo driven session we will be exploring logistics regression, k-means models and running predictions on tabular data straight from your SQL tables using Google BigQuery.

Session Keywords
🔑 Cloud
🔑 ML
🔑 Databases
🔑 BigQuery

Robin Moffatt

Senior Developer Advocate

UK, Confluent

Kafka as a Platform: the Ecosystem from the Ground Up

In this talk, we’ll look at the entire streaming platform provided by Apache Kafka and the Confluent community components. Starting with a lonely key-value pair, we’ll build up topics, partitioning, replication, and low-level Producer and Consumer APIs.

Session Keywords
🔑 Kafka
🔑 Streaming

Valdas Maksimavicius

IT Architect Specializing in Data Analytics and Cloud Computing

Lithuania, Cognizant

Data Governance From an Engineering Perspective

In this talk, we will split data governance into into “bite-size” pieces. What are the tools, processes, and skill needed to build a compliant data platform?

Session Keywords
🔑 Metadata
🔑 Data Governance
🔑 Compliance