About this event
Overview:
In today's data-driven world, organizations face increasing data governance challenges in managing and utilizing their data assets effectively. With the sheer volume of data being generated, it is essential to maintain data health by ensuring that data is accurate, accessible, and secure - but it isn’t always easy.
Join panelists from Castor and Monte Carlo in this webinar hosted by our friends at DZone to explore how to enhance the health of your organization's data.
Key Takeaways:
- Learn how to overcome common data governance challenges, like lack of adoption and documentation sprawl
- Unpack top data challenges faced by organizations when scaling data quality initiatives
- Discover how data catalogs and data observability platforms work together to deliver more trustworthy and discoverable data
Hosted by
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Guest speaker
Joel Snipes Data Architect @ Monte CarloG
Joel Snipes is a Solutions Architect at Monte Carlo, the leading data observability company. Joel has over a decade of experience in the field specializing in Master Data Management and Data Engineering, and has worked with organizations across multiple industries including Oil & Gas, Retail, Banking & Finance, Pharma, Insurance, and Healthcare. In his spare time, Joel enjoys 3D Printing and Real Estate investment.
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Guest speaker
Corentin Limier Data Engineering Manager @ CastorG
Corentin Limier is a Data Engineering Manager at Castor, a smart data catalog that helps companies improve their data experience through data discovery, community, and health. In his career, he’s covered the entire chain of data, from acquisition to restitution, from the creation of monitoring dashboards to the construction of AI micro-services. Prior to Castor, Corentin held data engineering roles in multiple industries, including at French scale-up unicorns, Qonto and Vestiaire Collective, where he was responsible for data platform and deployment.
CastorDoc
A data catalog designed for collective intelligenceCastorDoc is a the modern data catalog built to harness collective intelligence, so everyone on your team can easily find, understand, and trust your data.
