Big Things Conference

Big Things Conference 11th edition coming soon

Bringing AI to Low-Income Countries to Boost Global Health, Africa Periañez Founder at benshi.ai

Similarities and differences of Spark, Dask, and Ray by Holden Karau

Do Data Scientists have a future in the era of Machine Learning automation? by Nerea Luis Mingueza

What is the role of Product Managers in an ML powered product? by Oren Steinberg

The Top 5 Cutting-Edge Use Cases and Architectures for Data in Motion by Kai Waehner

Overcoming Event-driven Microservices challenges with Dapr by Carlos Mendible

ID document verification system for an easy and secure eID onboarding by Jesús Alonso and Kais Dai

Production-grade ML Pipelines – From Data To Metadata by Jörg Schad

Implementing a multi-cloud CDP in Google Compute Platform by Kevin Daly and Juan Manuel Pozo

Zoom for All by Harry D. Moseley

AI Opens New Doors for Meaningful Participation in Wildlife Research by Jason Holmberg

NLP in Legaltech – Empowering our lawyers with language models by Álvaro Barbero

The Data Cloud: A Vision for Data in a Multi-Cloud World by Ross Pérez

Interview to Berna Uzuner Coskun at Big Data Spain 2013

The Future of the Global Space Industry in an Exponential World by Emeline Paat-Dahlstrom

HOW TO APPLY BIG DATA ANALYTICS AND MACHINE LEARNING TO REAL TIME PROCESSING by Kai Wähner

Computable Content with Jupyter, Docker, Mesos by Paco Nathan

User Oriented Development Process by Viacheslav Kovalevskyi

AI-powered Automated Data Quality on Data Lakes by Aitor Murguzur

Big Data Spain 2014 | Intro Video

Big Things 2021, our 10th anniversary

Graphs for Analytics. The power of connections to understand the world by Josep Tarruella

The Rise of Voice Technologies by Germán Viscuso

Next step of AI: How to add Causal Reasoning using only Observational Data by Rubén Martínez

From data to numbers to knowledge: semantic embeddings by Álvaro Barbero

The Evolution of (Open Source) Data Processing by Aljoscha Krettek

Distributed Deep Learning with Keras/TensorFlow on Spark: yes you can! By Guglielmo Iozzia

Spark Streaming + Kafka 0.10: an integration story by Joan Viladrosa Riera

Big Migrations: Moving elephant herds by Carlos Izquierdo

Technoscience as the core of the Human Enterprise by Beatriz Sanz Saiz

Unified Stream Processing at Scale with Apache Samza by Jake Maes

Welcome to Big Things Conference 2021!!

Apache Cassandra 2.0 - the NoSQL Database by DataStax ADAM HATTRELL at Big Data Spain 2013

Visualization as an example for exercising democratic transparency by Lisa Lange and Sandra Cobos

The lifecycle of machine learning & artificial intelligence by Joey Frazee

The case for a common Metadata Layer for Machine Learning by Jörg Schad

Apache Hive 2.0 SQL, Speed, Scale by Alan Gates

How to use technology to solve the greatest challenges of our Planet? by Nacho Rivera at

Managing Chaos: Reproducible Machine Learning on Databricks by Brooke Wenig.

Data Types in Riak by Gordon Guthrie [slideshare link at description]

Unexplainable AI: Why machines are acting in that way by Moisés Martínez at

Data Driven Dashboards with Kibana Canvas by Philipp Kreen

Why Apache Flink is better than Spark by Rubén Casado

Foundations of streaming SQL by Tyler Akidau

Theory And Practice Of Distributed Training With Tensorflow by Viacheslav Kovalevskyi

Stream Processing use cases and applications with Apache Apex by Thomas Weise

Data Science to fight against COVID-19 by Nuria Oliver

KSQL – The Open Source SQL Streaming Engine for Apache Kafka by Kai Wähner