Data & AI

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.

People and organization are essential factors for the implementation of successful data science products. Join this stream to learn how to develop a DevOps mindset and how to implement an agile approach to building data pipelines. Finally, learn how Danone established an enterprise-wide data literacy program.

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.

Luca Cavallin obtained his Google Cloud Engineer Certificate and he will share which resources he used to prepare in the most efficient way. Learn how DSM’s Sustell enables farmers to measure their environmental footprint and test ways to improve it using AWS. The service uses over 700 data points and internationally certified calculation methodologies on Amazon Web Services (AWS) to provide the most accurate analysis to help farmers make the best environmental and business decisions.

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.

NATS is a lightweight, easy to deploy, high performance messaging system that builds upon cloud native infrastructure concepts. It is also open source and written in Go. In this session, Colin Sullivan will provide an introduction to NATS, Luca Cavallin compares NATS to GCP Pub/Sub. Finally, Adelina Simion delivers a workshop for you to get started with this event streaming platform. Form3 has been successfully using NATS for event streaming on our multi cloud architecture, which powers payments for Financial Institutions at high volumes. This talk will share Form3's knowledge and usage of this cool technology with the tech community.

In May of this year, Databricks released Delta Sharing, an open protocol for the secure exchange of massive datasets. Through the generation of pre-signed, short-lived URLs pointing directly at requested data, and their distribution to authenticated data consumers, Delta Sharing facilitates real-time, platform-agnostic access to an organization’s information. This makes Delta Sharing well-suited as a means to inter-domain dataset distribution in the Data Mesh. Data Mesh is an architectural paradigm that erupted into the public consciousness at around the same time. This code breakfast consists of two parts.

In these live episode of Club Cloud Stories - The Cloud News, hosts Jacco and Luca discuss the latest cloud developments from Amazon Web Services and Google Cloud Platform. Mark van Holsteijn will demonstrate a handy open-source tool for cloud-native engineering.

RAPIDS is an open-source software that accelerates the whole Data Science Pipeline from Data Preparation/Visualization to Machine Learning on GPU. In this workshop, you get familiar with RAPIDS which runs on Python with pandas/scikit-learn-like API and you experience the speed-up it provides.

Let’s take data science in production! In this stream, you’ll have the opportunity to learn from leading enterprises that leverage data applications to improve their operation. Guidion and Heineken are in totally different lines of business, but share the ambition to become AI-driven organizations. Besides technology, a strong culture built around skill and diversity allows teams to excel. Experienced consultant Serge Beaumont joins EV Box CIO Madeleine Smit and Elaine Versloot (Binx) to share their learnings regarding establishing diversity in tech teams.

Google Cloud Platform User Group Benelux is providing a Meetup on the 4th of November about Data Management in the Cloud.

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.

In this session, Daniel Gebler, CTO at Picnic, will discuss a few recent developments in the cloud and data space at this fast-growing online grocery store. One of the topics will be the new automated fulfillment center that Picnic recently started using. This robotized warehouse of 25,000 m2 is built around infrastructure-as-code principles and uses the best of edge computing, on-prem hardware, and warehouse control systems. Furthermore, we will discuss new machine learning services that Picnic uses for fraud detection and order forecasting.