Kay Cordewener
Business Intelligence & Analytics Developer
Business Intelligence & Analytics Developer
Alphen aan den Rijn, The Netherlands
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Born and raised in the Netherlands, Kay is originally from the academic field of Cognitive Neuropsychology where he did research using generational AI technology at the Vrije Universiteit te Amsterdam. Currently working in the field of IT in Data Analysis and Visualization.
Several years of experience working in the field of BI Visualisation and reporting for the top banks in the Dutch financial sector, with a focus on Continuity Management and Customer Journey.
Experienced in Data Profiling, Analysis, pattern recognition and scientific methodology. Power BI certified and working with Azure Cloud development on a daily basis.
Hobbies include boardgame design, reading, traditional crafts.
Geboren en getogen in Nederland, Kay komt origineel vanuit het academische veld van de Cognitieve Neurpsychologie waar hij onderzoek deed met generationele AI technologie aan de Vrije Universiteit te Amsterdam. Werkt huidig in het veld van IT in Data Analyse and Visualisatie.
Meerdere jaren werk ervaring in het veld van BI visualisatie en reporting voor de top banking in de Nederlandsche financiele sector, met een focus op Continuity Management en Customer Journey.
Ervaren in Data profiling, analyse, patroonherkenning en de wetenschappelijke methode. Power BI gecertificeerd en werkt dagelijks aan Azure Cloud development.
Hobbies zijn bordspel design, lezen en traditioneel handwerken.
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Harnessing Microsoft Purview for Data-Driven Success: A Deep Dive into Governance, Risk & Compliance
Are you struggling to unlock the full potential of your organization's data? Join us for a comprehensive exploration of Microsoft Purview and discover how it can revolutionize your data management strategy.
In the Sogeti hosted session, Kay Cordewener delves into the Microsoft Purview Data Catalog and its powerful capabilities for:
Data Governance: Establish clear policies, standards, and controls to ensure data quality, consistency, and compliance.
Data Mesh or Hub-spoke: Enable a decentralized approach to data management, driving agility and innovation across your organization.
Data Security and Risk Management: Protect sensitive information, mitigate risks, and comply with industry regulations.
Why attend this session?
Gain actionable insights: Learn practical strategies to optimize your data management processes and drive better business outcomes.
Discover the latest trends: Stay ahead of the curve with the latest advancements in data governance, security, and compliance.
Network with industry experts: Connect with like-minded professionals and share best practices.
Don't miss this opportunity to learn how Microsoft Purview can help your organization achieve its goals and maximize the value of your data.
Azure DevOps trio
Welcome to Azure DevOps trio, a tale about how a development team and an operations team have to bond together and start using Azure DevOps for Data Platform deployments.
This session will cover the process of developing a CI/CD process, starting the process of getting the team on board and ending with making an actual release.
Usually this session is a duet. However, we have made it a trio especially for SQLBits to introduce a new speaker.
We will discuss
- the challenges of implementing DevOps
- setting up a database solution project
- getting started with source control
- testing your database releases using tSQLt
- setting up your Azure Devops pipelines
- using Azure DevOps with Azure Data Engineering services
After this session you will have the tools and knowledge to get started with DevOps and get your development process to the next level.
Feedback Link - https://sqlb.it/?7033
Azure Data Engineering services used to analyze data
Aimed at Data Platform Professionals, this session is an overview to some of the more popular Azure Data Engineering services used to analyze data. Since they are becoming more in demand.
Such as Azure Databricks and Azure Synapse Analytics.
In addition to explaining these services, we will explain some jargon along the way and demonstrate where SQL Server experience can come in handy.
Feedback Link - https://sqlb.it/?7078
An overview of Azure Data Engineering services in 50 minutes or less
Aimed at Data Platform Professionals, this session is an overview to some of the more popular Azure Data Engineering services. Since they are becoming more in demand.
Such as Azure Data Factory, Azure Databricks and Azure Synapse Analytics.
In addition to explaining these services, we will explain some jargon along the way and demonstrate where SQL Server experience can come in handy.
Kay Cordewener
Business Intelligence & Analytics Developer
Alphen aan den Rijn, The Netherlands
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