Club Cloud Conference 2021

Based on his experiences with dozens of organizations, from digital native to enterprise, Diederik Greveling shares what are the components of a modern cloud-based data platform. During this session. you will learn about the best cloud services to use to build an efficient platform and which additionals tools and components you can use to build a modern data platform.

The world’s best sports organizations are using AWS to build data-driven solutions and reinvent the way sports are watched, played, and managed. AWS provides cloud services that are at the core of sports innovation, athlete optimization, and epic fandom. Machine learning (ML) is producing advanced stats like NFL’s Next Gen Stats, high-performance computing (HPC) is redesigning F1 race cars and America’s Cup boats, organizations like NASCAR are using artificial intelligence (AI) services to automatically tag and categorize archives, and Internet of Things (IoT) is connecting sensors from the field and track to deliver real-time data. Whether it's predicting the probability of a catch in real-time, or forecasting ticket sales after a winning season, technology is changing the game.

Computer vision and deep learning are used at Schiphol to get insights in the processes that are needed to prepare a plane for take-off. We have cameras aimed at parked planes which are used to detect in real-time the execution of the so-called turnaround process which is often a source of delay. Using real-time alerts and insights from historical data, this solution enables Schiphol to discover issues in the turnaround process. In this interview we will discuss the value of data centric AI and how we use it to continuously improve our models.

In this session, Adevinta's senior software engineer Charlie Evans and GoDataDriven's Diederik Greveling share their experiences migrating an on-prem backend data analytics pipeline that processes over one billion events per day to Google Cloud. They will touch on the rationale behind the migration, the changes in architecture, driven in part by FinOps considerations, and discuss the pain points encountered along the way.

Practicing DevOps successfully requires knowledge of hard skill areas such as continuous delivery and automated testing. But even if you have all these tools in place, you are not necessarily successful. And why is that? In most cases, the people are not in the right "state" or mindset, to actually use these new practices and tools. Fear of failure, of speaking up, motivation and drive are all factors that play an important role. Creating a culture where people show courage, work on team building, practice DevOps leadership and have a continuous improvement mindset is hard but extremely important. In this session, I will talk about what a DevOps MindSet is. How to recognize fears and counter-productive behavior and give you some tips and insights on how to start growing a DevOps Mindset for yourself and your colleagues.

Over the last 1.5 years, Gall&Gall has developed a new data lake to empower their Analytics team. Platform, Data and Analytics Engineers have been working closely together with Data Scientists and Analysts to ensure that this new technology stack meets use case requirements. We will deep dive into the way of working, team roles and responsibilities, architecture, and the degree of self-service of this modern analytics team.

In this session, Anton Fedorov will join host Luca Cavallin to discuss the way that the Cerqlar platform leverages cloud technology to power their global platform. During the talk, Anton will share the journey of adopting cloud, the selected architecture and design as well as the implementation. On top of this, he will talk about the way that Cerqlar leverages cloud native services to develop and implement new features on the platform.

Creating a broad view on enterprise analytics has quickly become critical for companies who want to ensure their data is accurate and up to date, especially as companies and their tech stack grows. Fivetran is the smartest way to replicate data into your warehouse. We’ve built the only zero-maintenance pipeline, turning months of on-going development into a 5-minute setup. Our connectors bring data from applications and databases into one central location so that analysts can unlock profound insights about their business.

In our 15 years of experience with the (AWS) cloud, we have come across many reasons why a company decided to invest in the vast functionalities that cloud offers. Speaking from experience with numerous clients, we will walk through the top five reasons: Scalability | Immediate access to technology | Speed and Agility | Costs | Security

In the last decade, IT has moved from an Ops and Dev world to a world where we combine these disciplines. In this new reality, companies face new challenges. For example, how do DevOps teams deal with cross-cutting concerns like security and compliance? And how do we make sure that cloud costs stay in control? Every DevOps organization will have to come up with an answer to the questions. Join this session to learn more about the possible strategic options, their benefits, and their disadvantages.

Intuitively, we want to create good applications whose reliability is pushed to the maximum. What we tend to overlook is the hidden drawbacks of aiming for an overly high reliability, like mental stress during an outage and hesitance towards rapid feature development. Accepting that failures may occur takes off stress from DevOps teams and allows them to focus on what really matters for the end-users. In this talk, we’ll discuss an outline for a framework on how much failure DevOps teams should reasonably expect using error budgets. While technical errors may abound, user impact may be negligible, so keeping an eye on end-user impact is of the essence. This will show us how severe an incident really is and help us stay sane during “unimportant” incidents. Moreover, when reliability is surpassing expectations, we will learn that we can allow for more “risky business” and innovate fastly, improving on customer experience in another way.

We'll end this talkshow with a round-up of what we've talked about and how Managed Services is done right.

Many say that Agile and Cloud can solve anything. But, will Agile and Cloud reinforce each other in business acceleration? Does Cloud serve Agile or the other way around? Can Cloud and Agile work together, or are they not necessarily related to each other? Does Agile suit everyone, or are there environments where it will do more bad than good? What are the most critical aspects that need to be addressed in almost every organization? Monique Dekker asks Senior Technical Agile Consultant Theo Gerrits for guidance and practical advice. This session benefits management, mid-management, and leadership positions involved with Agile and/or Cloud, who want to scale, have questions about practical implementation, and more. In short, gain the right insights to take the next step towards effectively deploying these modern tools and methods.

Every week, HEMA welcomes 8 million customers into its online and physical stores, and every one of these shopping sessions generates data. Now, how does HEMA use all this data to improve the customer experience? And what crucial role does AWS have in this? Bas Karsemeijer, Head of Data & Analytics will tell you all about it! We invite all board members, managers, data scientists, and engineers who are in the process of developing a data vision and building a data strategy to join this online get-together.

As more and more businesses digitalize, physical products often become represented by their photographs. While advantageous in a lot of ways, this also presents businesses with new kinds of challenges. How to ensure that these materials are of sufficient quality? How to measure image quality use it to motivate users to improve? What visual factors make the product more appealing and sellable? We will consider these and many related questions in this session with the example of the world’s biggest flower auction. It will combine a range of business insights with technical showcases in the domain of Data Science. Key words: Data Science, Image recognition, Image quality, Neural Networks, Ranking algorithms, Quality evaluation, Digitalisation

In this session we talk about how to do detection and response in the AWS public cloud and what native AWS services can be used to do this. What options are available and what (if any) 3rd party solutions play a role here? If it was up to us, what are the top use cases a security operations center should monitor in a public cloud environment? Is a traditional SIEM solution still required or can we build a similar function using native AWS services?

Have you spotted access keys in code? Putting it directly in your code might not be a good idea. Maybe you saw that Kubernetes offers secrets for this. Have you found your Kubernetes secrets to be readable by everyone? So where do you put your secrets in a secure way? In this session we will look at various solutions, such as Hashicorp Vault, Kubernetes, and solutions offered by AWS.

Martijn Doedens (Cloud Security Consultant at Oblivion) and Niels Zeilemaker (CTO at GoDataDriven) summarise the current state of secure data processing in the (AWS) cloud. We cover the specific services related to data and the services that are used to standardise secure landing zone, actual risks and threats that our customers face when processing big data on AWS and which configurations (aka best practices) you should always implement.

Obtaining your first Google Cloud certification can be a challenging experience. Luca Cavallin shares his best tips to prepare. Learn from Cloud Engineer Luca Cavallin how to pass the GCP Cloud Engineer – Associate Exam. Luca will share his first-hand tips and the resources he has used to pass the exam last December. You will get an overview of the knowledge needed to pass the certification, a list of resources to help you through the journey, and tips on how to prepare for the exam.

Together with Mark Boon (Senior Digital Engineer @ DSM), Andrès Koetsier (cloud consultant at Oblivion) goes in-dept into how DSM adopted a cloud-native way of working to rapidly develop new applications to solve sustainable challenges.

Interactive panel discussion about the treats of being a cloud engineer, the developments and a guestimate about what the future holds.

According to Alexandru Iosup, Professor at the VU, Amsterdam, Europe still lacks long-term, strategic innovation and needs to get in the driver's seat. With the Computer Systems and Network Manifesto, he wants to inform readers about developments in computing, the importance of innovation and provide a clear strategy for the Netherlands to stay relevant in the coming decades. In this session, Alexandru shares his vision and discusses scenarios for European innovation in the field of computer systems and networks.

You’ve been hearing a lot about security best practices, but you’re not convinced they can really make a difference? Do you think your resources are safe only because nobody would notice your random IP address? If so – join my session! I’ll show you real-life attack scenarios to convince you that misconfigurations can have dire consequences.

In this talk we share our experiences of the MLOps platform we build for our customers and how they boost the way data scientists work. We show how their projects of ML models training can go from zero to production in much shorter time, while achieving superior performance, high code quality, training repeatability and governance. Also interesting from the deployment perspective, the platform mixes best-of-breed cloud managed services with a small number of powerful open-source components (e.g. Kedro, MLflow, Seldon) to get extra functionality that data scientists and their ML models need. It should be interesting to anyone from data scientists to platform builders or architects.

Join this introductory dbt workshop with Sara Leon and Kyle Coapman to get acquainted with dbt, a development framework that combines modular SQL with software engineering best practices to make data transformation reliable, fast, and fun. DBT makes it possible for anyone with SQL knowledge to author data pipelines.

Why do organizations need a web-based workplace and what are the steps to take? Hear from Aafje and other customers how the embraced web-based working.
Join our talkshow live in the Xebia studio or watch it from wherever you are!

This (online only) session is open to anyone involved in projects and project work and interested in modern ways of project management and workflow optimization.
- Do you finally want to get a better grip on your projects?
- Do you often miss the overview when several projects are running at the same time?
- Do you think collaboration in projects is essential, but is it only partially successful in your current tool?
Then make sure you don't miss this (Dutch spoken) event!

In this session Marcel will share his vision and learnings on how cloud is enabling ISV's to build a much stronger business and give better profitability by creating a cloud native software company. This session will start with the challenges currently faced by software vendors if it comes to the technology trends currently taking place and disrupting the way software is delivered to and consumed by their customers Next this will be translated to the impact this will have on various aspects of the business, varying from software development itself, but also the organizational and financial impact this will have. This session concludes with ways to transform your organization into a more profitable and scalable company by embracing a cloud native approach to software development, organizational structure and financial models to support this change. After attending this session you will have more insights into the challenges faced by ISV's in the industry and how you can change your organization to become successful in this new age of cloud computing.

Learn more about the cloud transformation story of Nextens.

Live talk show about Cloud Transformation for ISVs with Xpirit and Microsoft Experts.

In this session we will talk about how Azure AD B2C can be integrated into an application landscape using the 'authentication hub' concept. The ‘authentication hub’ concept will be explained along side a fake implementation. Aspects such as customer logins, employee logins and federation with third parties will be addressed.

Ask the Experts session about the technical side of cloud transformation for ISVs.

No matter your role and industry, you are in the middle of drastic changes and uncertainties. The digitalization is relentlessly pushing on and moving into new areas of business. Adding to the complexity are also the effects of the global pandemic that has interrupted every one of us these last eighteen months. Do you feel confident enough to make the right strategic decisions for your business today? Kongsberg Digital is a leading global provider of maritime simulation solutions for the training and education industry. Our K-Sim Connect platform has at record speed evolved into a large cloud-based simulation platform, but more importantly, it carries our business proposition to our clients of working together with them to shape the future of maritime training and education for the benefit of the seafarers. By the end of this keynote, you will know what this future holds, and you will be able to identify how our experience can be adapted to your business needs

The key to successful digital transformation is a focus on creating an impactful user experience. In this keynote, we will look at the role of design in today’s world and how it helps to define and deliver meaningful impact when innovating.

Docker makes it easy to containerize existing applications and run them on arbitrary machines. Kubernetes takes it to the next level by offering fast and easy container orchestration at runtime. Containerization has been common practice in the Linux world for years, but lately, developers on the Microsoft stack have jumped on the Docker bandwagon too. That is all nice and dandy for .NET Core applications that are easily deployable in Docker on Linux, but what if you have a 30-year-old maritime simulator that has to be cloudified and run as a Software as a Service offering on-demand? In this presentation, we’ll share the journey of our team that led us from hope to desperation to glory in turning on-premise simulators into a full-blown cloud-native service, with some ancient pieces still in there. It surely can be done!

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. In practice, this means that TFX allows you to follow MLOps best practices with model versioning, data validation, metadata management, performance monitoring, serving and more. For this session, we’ll explore the key concepts of TFX and teach you how to run TFX workflows on Airflow. Use the orchestration system like Apache Airflow or Kubeflow to execute workflows as directed acyclic graphs (DAGs) of tasks. At the end of this workshop, you will explore the key concepts of TFX and teach you how to run TFX workflows on Airflow, hosted on the cloud. It will demonstrate the end-to-end workflow and steps how to analyze, validate and transform data, train a model, analyze and serve it.

Many data teams lack tools that detect problems within their data. They fly blind. The result is that data issues remain silent and undetected. Join Maarten (Soda) and Cor (GoDataDriven) to learn about how you are able to detect silent data issues with Soda and why Soda should be part of your modern data platform. They’ll talk about the data quality workflow that enables data practitioners to deliver reliable data products. Data teams need the right solutions to help improve trust, foster a spirit of collaboration, and deliver business value. You’ll learn how Soda removes the fear of not knowing, and the pain of finding out too late that a data issue has had a downstream impact.

You deployed your infrastructure, and a week later, you get a request to adjust based on security findings. Thus the game of ping pong with your security team begins, and they can take a lot of your time and energy. This session aims to provide you with ideas and possible solutions to minimize the number of rounds you need to play with your security team. I will share my ideas on setting up a Terraform pipeline on Github with checks and short feedback loops and deploying it into Google Cloud with confidence.

Is a secure cloud possible or an neverending rat-race? We know the debate around “The Cloud Is Just Someone Else's Computer.” The cloud is an technology ecosystem that provided us so much more options than time-share mainframe, multi-user unix systems or patterns as CORBA and RPC could provide us. I'll introduce you into the concept of Variety known from Requise Variety. One of the key attributes of an antifragile IT systems. This concept will help you in design decision on the risk mitigation in the cloud.

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.

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.

Why is it important to optimize costs? TCO has two main components: infrastructure cost and software licenses cost. The usual optimization scenario is when a customer wants to find compute, storage and licensing configuration that reaches the desired performance level at minimum cost. When you run SQL Server workloads, licensing makes up the majority of the TCO, so this is where you want to optimize. In this session we are going to cover basics of Microsoft licensing on AWS and best practices for compute and licensing optimization of SQL Server workloads on AWS. And finally we will discuss how AWS Optimization and Licensing Assessment (AWS OLA) can help you to see potential cost savings when migrating your Windows Workloads to AWS.

Michel Zitman (Cloud Financial Management Practice Lead at Oblivion) shares his best practices on how to build efficient FinOps KPIs and demonstrates the importance they have on your FinOps Governance. Cloud cost management appears to be a challenging subject in the majority of organizations. From our experience we have concluded that 35% of cloud spend is actually wasted as a result of over-provisioned resources alone. And given the fact that, on a global scale, we are only at the beginning of cloud adoption, it’s time for action.

All one needs is strategy, skill and resources to make digitalization and AI happen. Innovation, added value, competitive advantage and a short Time-to-Market is just around the corner. So why is everything taking so long? Shouldn’t you all be finished yesterday already? Mastering innovation requires having many balls in the air at once. In this talk I’ll present a transformation use case of an established player including our best practices and anti-patterns.

Every day, millions of Dutch and Belgian households do there groceries at Albert Heijn. Fulfilling these customer needs and, at the same time, minimizing the waste is one of the operational optimization problems Albert Heijn faces every day. In this session details will be shared on how data scientist use cloud and data science to tackle this large scale problem in order to stay the number one supermarket in NL/BE.

After five years of changing the way analytics teams work, dbt Core is reaching its v1.0 milestone. Jeremy will discuss the big priorities leading up to v1. Also: what still feels missing in dbt-anchored data stacks in 2021; and a sneak preview of what the team will be working on in 2022.

The ability to analyze data in real time for mobile network is crucial for diagnostics and ensuring the quality of the service for end customers. To achieve this we have built a real-time ingestion and analytics platform that processes 2.2 billions messages a day from mobile networks hardware. During the talk we will show how we used Flink and Flink SQL to build this platform. The solution includes calculation of more than 5000 KPIs and 1500 aggregation defined in SQL, on 750 Kafka topics. We will describe how we manage Flink jobs at scale using Ververica and Kubernetes, how we monitor the platform using Clickhouse and what problems we need to overcome in the project.

Bol.com is moving its 1000+ applications from its own data centers to the cloud. However, this is not "just moving" applications. There are a lot of challenges and opportunities behind such a change (especially when you are a 100+ innovation teams organization that works in a fast-paced market). In this talk, we will zoom into three of our top challenges and our strategies to approach them. We will also share some insights on the opportunities that we see and ideas on how to maximize their potential.

AWS can be a daunting idea for even the most experienced developers, however, with the whole world moving towards cloud, it has become a necessity for almost every project. The need for an approachable solution to building applications on the cloud is what AWS Amplify has set out to solve. AWS Amplify is a collections of tools and services that are built to simplify and speed up the development process on the cloud. We discuss the “What”, “Why” and “How” of AWS Amplify, looking from a broad overview into what it is, a story of how AWS Amplify was used to build a production grade application at one of Xebia’s clients and a technical overview from a Senior Developer Advocate at AWS on the true power of AWS Amplify.

Name the first three cloud providers you can think of! Chances are you came up with one or more cloud providers from the US (AWS, Google, Azure to name a few). And can you name four Chinese cloud providers? If you can, you are already well ahead of the competition, as most companies don’t often look to China for anything cloud-related. And even though Chinese cloud providers are still considered niche players in many areas, if you are looking to scale your business in China, working with a local provider can really make a difference. Before you get to releasing software though, there are many other things to consider and tackle. In this session, Léon will introduce you to the Chinese cloud, answer all your questions about the challenges you face when scaling into China and propose a simple battle plan to face these challenges head on.

Asia is the new global, digital power house. We will discuss how you can connect seamlessly to your locations and end customers in China, Asia and beyond with a cloud service provider who's the underlying technology platform for the world's largest shopping festivals, e-commerce platforms and payment services. Alibaba Cloud provides a broad and battle-proven portfolio that lets you create digital experiences seamlessly for your customers world-wide, no matter where they are. Ranging from global networking solutions to accelerate your digital experiences, web hosting for the Chinese market to CDN networks for global content delivery and real-time video-streaming and AI-based translations, and even connecting your ERP systems to Alibaba Group’s B2B wholesale platforms: Alibaba Cloud makes it easy to connect and engage with your clients anywhere, anytime, any way. In this round table session we will discuss how this is working and how we support global brands to scale into China.

Data democratization is the process of improving data availability through modern cloud-based technologies and enabling users to retrieve information from that data through self-service analytics. In this session together with Interfood and Funda, we will cover the benefits, risks, and main enablers of Data Democratization.

Recent developments in technology, the rise of the modern data stack, and the prevalence of self-service analytics have disrupted the field of data and analytics. Our of these game-changing events, a new professional role has emerged in the data field: the Analytics Engineer. This session will introduce you to the role and responsibilities of the Analytics Engineer.

The bigger your warehouse gets, the more difficult is to manage the dependencies between your datasets and get a hold of the health of your data. In this hands-on session, we will showcase the value of tools such as dbt and SodaSQL to manage your data warehouse at scale with a real-life demo of both tools combined. Data lineage and data quality assurance are more than achievable goals with this combination!

Paired with some realistic examples, we will speak about several topics most people forget to scope when an organization creates a dashboard. Some topics can be as important as data security and hidden costs. Or as trivial as confusing interactions and mobile responsiveness.

Robotized warehouse, new ML applications and more developments from Picnic