Renald Buter

In this video stream, we will dive deep into the modern data platform. After an overview of the components of the modern data stack, several seasoned experts, including Luuk Figdor (AWS), Santiago Ruiz (Royal Schiphol Group), eBay, Kevin Duisters (Interfood) and more, will share their experiences with the implementation of modern data platform and data applications that are built using the latest standards.

Experts from the field share the pros and cons of agile for teams that use cloud technology and learn from Bas Karsemeijer, head of Data & Analytics, how HEMA uses data to deliver an unforgettable customer experience.

DBT is a transformation layer that sits on top of a data warehouse, it makes moving data into warehouses easier. As such, it is an essential element of the modern data warehouse.

Key concepts of TensorFlow Extended (TFX) and develop the skills to run TFX workflows on Apache Airflow. In this workshop, we’ll dive into TFX, a tool built for consistent and reliable deployment of TensorFlow-based models to production.

Get to grips with the latest tools for data engineering and data observability: SODA. We will dive into SODA, a smart observability tool.

In this session, Matt Rocklin, CEO of Coiled, explains how they help data scientists use Python for ambitious problems, scaling to the cloud for computing power, ease, and speed—all tuned for the needs of teams and enterprises. Coiled is built on Dask, a free and open-source library that helps scale your data science workflows and provides a complete framework for distributed computing in Python.

Learn about the latest developments from Databricks. Field CTO Chris d'Agostino will take us through enabling data at scale with Lakehouse, while solutions architect Ivo Everts will share his story of twenty years of Data and AI in Amsterdam!

Join Google's specialists to learn more about some of the hottest GCP topics of the moment: Datamesh, streaming data ingestion, Vertex AI and App Modernization with Anthos.

Data Democratization increases the usage of data assets, uncovers new opportunities with data, and improves existing data operations. All this expedites decision making and facilitates the creation of business value. Join these sessions to learn about Data Democratization, the Modern Data Stack, self-service analytics, and the new professional role in the data field: the Analytics Engineer.