Club Cloud 2021 – Thursday – 4 Nov

In part one, Robert Rodger will give a brief introduction to the Data Mesh concept and describe the role Delta Sharing can play in it.

In part two, Kris Geusebroek will introduce you to the details of the Delta Sharing protocol and perform a live demonstration of a data request via the protocol using Apache Spark.

This in-person workshop will help you get started building Cloud-native software and Infrastructure as Code for your own projects! You will build a modern web application, using Blazor and .NET 6. Once completed, you will create Azure infrastructure by using Bicep, and run the Blazor app in the Cloud.

For a long time the quality community has been shouting that early testing is necessary as incidents are really expensive to fix. With the rise of DevOps, build pipelines, and cloud technology the world has dramatically changed.

In this session, Bart Klaver, managing director at Clay Solutions BV - A SALTO Group company, shares how Clay Solutions leverages the data produced by its platform to reduce costs, improve customer satisfaction and remain a market leader. In this session, Bart discusses several applications, including predictive maintenance, developing insight in the use of their platform, and pro-actively informing SALTO KS' (Clay's cloud-based access control solution) installers of malfunctions.

In this session we'll record a live episode of the Beyond Coding podcast on ML Ops. Together with Roman Ivanov and Julian de Ruiter we'll give an introduction on what ML Ops is, how to bring your machine learning model to production and the challenges you might face along the way. Beyond Coding is a weekly podcast that covers various topics between Tech and Business. Topics range from tech leadership, to sales and all the way to staying sane as consultant. Everything you'll hear is non-scripted, genuine, and comes from a place of passion.

Luca and Jacco will guide you through a selection of the hottest cloud news of the past month and will introduce the latest cloud innovations in their monthly Cloud News episode. Join this live session online or in-person and be the first to know the latest about the cloud.

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. We will also use GPU accelerated Xgboost to do Leave One Feature Out Importance in a reasonable time. Prerequisites: Create a Kaggle account for accessing the data and notebooks. Optional: Install RAPIDS on a conda environment. PROGRAM 13:00: Introduction 13:05: Accelerate an end-to-end Machine Learning Pipeline using RAPIDS and GPU. 13:50: Q&A

The Cloud can be a scary black box, with lots of components beyond your span of control. Observability helps you see in this darkness.

Guidion is a scale-up in the technical services industry. Their large network of self-employed mechanics install services and fix technical problems for the customers of Guidion’s partners in the energy and telecom sectors. This chain of events - from the moment that a customer makes an appointment to when it is completed by Guidion - generates a wealth of data. Over the course of 2021, GoDataDriven has helped Guidion to build a centralized data team of engineers and analysts that fits Guidion’s T-shaped culture. Through knowledge-sharing sessions and joint projects in machine learning, data dashboards and engineering, we created a team in which the analysts think like engineers and the engineers think like analysts. In this session, we’ll discuss the challenges of building such a versatile team in a scale-up, how Guidion plans on continuing their data-driven journey how data plays a central role in their business processes.

In this live round table, host Elaine Versloot is joined by EV Box's CIO Madelein Smit and Xebia's Principal Consultant Serge Beaumont. They will discuss how to realize diversity in tech teams and tech organizations. During the conversation, Madeleine and Serge will build upon their own experiences to share how they have learnt to establish diversity while getting the most out of the team performance. This session is a must if you are interested in embedding diversity into your organization and optimizing team performance!

Let’s talk HashiCorp technology! We are happy to welcome Guy Sayar, Field CTO at Club Cloud. We will discuss the product scope of HashiCorp and the meaning of Cloud Operating Model in this context. You will learn whether HashiCorp does only address the needs of multi-cloud environments and how they tackle legacy tech that might be present in organizations. Join us to get a heads-start with the HashiCorp model.

During this short hands-on workshop, you will gain knowledge on how to deploy an application on Google Cloud Run by writing Infrastructure as Code using Terraform. In this workshop, you will be able to experiment with these technologies in a safe environment with no preparation required.

The experts will be speaking about Data management on GCP, our first speaker is Chris Juon from Do-iT International who will be speaking about Patterns for Schema Design on BigQuery. And the second speaker is Ahmed Mahran who is a Data Management Practice Lead Benelux at Google Cloud, he will be speaking about Migrating traditional databases to CloudSQL. See you on the 4th!

"Similar to the Microservices revolution in the software development domain, there is a new wave starting in the analytics domain called Data Mesh. What are the highlights of this new model? Why are enterprises considering this model? How do cloud native architectures enable the successful implementation of this model? This session will cover all these questions and provide insights of how adopting Data Mesh can help businesses scale Analytics in the organization."

Vertex AI is a unified MLOps platform to help data scientists/ML engineers increase experimentation, deploy faster, and manage models with confidence. Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. One AI platform, every ML tool you need A unified UI for the entire ML workflow Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. These models can now be deployed to the same endpoints on Vertex AI. Pre-trained APIs for vision, video, natural language, and more Easily infuse vision, video, translation, and natural language ML into existing applications or build entirely new intelligent applications across a broad range of use cases (including Translation and Speech to Text). AutoML enables developers to train high-quality models specific to their business needs with minimal ML expertise or effort. With central managed registry for all datasets across data types (vision, natural language, and tabular). End-to-end integration for data and AI You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI for seamless integration across the data-to-AI life cycle. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Support for all open source frameworks Vertex AI integrates with widely used open source frameworks such as TensorFlow, PyTorch, and scikit-learn, along with supporting all ML frameworks via custom containers for training and prediction.

An overview of the Google Cloud Anthos Application Modernization platform which uses industry leading technology for moderni\ation and migration of applications in hybrid or multi cloud environments suitable for all industries.