BIG DATA CONFERENCE

EUROPE 2022

November 21-24

Vilnius and Online

Confirmed Talks

Paško Pajdek

Mediatoolkit, Croatia

Designing Robust Processing System With Redis

If you want to know how we built our system with mechanisms such as queueing, scheduling, and backpressure implemented with Redis, come, listen and discuss.

Session Keywords
🔑 Realtime Data Processing
🔑 Queueing
🔑 Redis

Victoria Perez Mola

Tier mobility, Germany

Expanding the Data Team: Analytics Engineers

At the end of this talk you should be able to identify what are the tasks and responsibilities of the Analytics Engineer, the difference with other roles in the data team… and maybe even want to become one.

Session Keywords
🔑 Team Management
🔑 Data Team
🔑 Analytics Engineer

Sana Rasheed

Accenture, Latvia

Industrial Use Cases of Data Science

We will talk about the problem areas from the industry, and how we, at Accenture, solved them, and what benefit it brings to our clients.

Session Keywords
🔑 Data Science
🔑 Predictive Models
🔑 Industry Use Cases

Gerard Toonstra

Datafold, The Netherlands

Data Observability

Data Observability is a growing area in data engineering. In this session, he will explain to an audience of data engineers what data observability means in both development and operational processes.

Session Keywords
🔑 Data Observability
🔑 Data Lineage
🔑 Catalog

Barry Walsh

Pairview Group, UK

Trends in 2021 – CRPA, AutoML & the Role of DataOps

As such, our talk at the Big Data Europe 2021 conference on “Trends in 2021 – CRPA, AutoML & the Role of DataOps” will take a practical look at pioneering tools including AutoAI (IBM Cloud Pak, TensorFlow Extended) and the rise in no-code / low-code interfaces (AzureML, DataRobot) as well as best practice for implementing Enterprise AI in 2021

Session Keywords
🔑 ML
🔑 DataOps
🔑 Trends

Maxime Beugnet

MongoDB, France

Building a Serverless GraphQL API in 25 Minutes

In this live coding session, MongoDB Developer Advocate Maxime Beugnet will show you how to build a serverless REST and a GraphQL API based on this dataset using Python and the MongoDB Data Platform. We are finally going to put serverless and the MongoDB generous free tier to good use!

Session Keywords
🔑 MongoDB
🔑 Python
🔑 Serverless
🔑 GraphQL