The Modern Data Show

Mark Van de Wiel is the Field CTO at Fivetran, the leader in automated data integration, delivering ready-to-use connectors to thousands of customers globally. Mark has a strong background in data replication and real-time business intelligence and analytics. Before joining Fivetran, Mark was the CTO at HVR Software which provides a real-time cloud data replication solution to support enterprise modernization efforts. HVR Software was acquired by Fivetran in 2021.

Data quality issues have existed since the time businesses started using data to drive business initiatives. ‘Data Observability’ as a category is gaining a lot of attention and is maturing pretty fast. To understand the evolution and the current rise of ‘data observability’ we have Salma Bakouk with us, who with her team is building a tool that can help both data engineers and data consumers navigate data reliability and data quality issues.

Transcript and other relevant links on moderndatastack.xyz

With the modern data stack evolving constantly, the next thing to look forward to is a real-time data stack, where companies are not just producing data in real-time but also consuming it on a real-time basis. In this latest episode of the Modern Data Show, we discuss the same with our guest Nnamdi Iregbulem, who has invested in a lot of modern real-time data stack tools.

There is a lot of content out there about what does future holds for Modern Data Stack from the vendor's perspective, but very little about what is actually going to stay relevant in the market. To understand this we have Chris Ricommini joining us for this episode on navigating the future of Modern Data Stack.

Selecting the right set of data tools is important as it can have a long-term strategic impact on your business. You can choose between commercial or open source tooling and can even custom-build it according to your needs. In this episode, we discussed the factors to be considered while making this decision with our guests, Lucas and Addison from Hudl. We also took a deep dive into self-serve analytics, data governance, observability and much more.

The data space has grown rapidly in the last few years. To put this progress in context Mahdi has divided it into three waves. First being of ETL, OLAP, and relational data warehouses. The second being the era of scalability and now we have entered the third wave - the Modern Data Stack wave. Join us in this interesting conversation where Mahdi talks about various aspects of Modern data stack like ETL, CDC, data obvervability and much more.

Managing ETL processes, data infrastructure, and data teams is already an arduous task, imagine doing all this in a very data-intensive organisation! In this episode, Greg takes us through how he and his team have kept things rolling at Canva. Greg walks us through what data platforms they use at Canva, ETL pipelines, data team structure, and much more.

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Hello everyone and welcome to the very first season of Modern Data Show- a podcast where you can hear stories from data practitioners and enthusiasts - the folks in the arena, on their journey of building and operating a modern data stack.  I'm your host - Aayush and we're super happy you're here😀

In this first season of our show, we'd be talking about all things ETL - how organizations at a large scale manage their ETL processes, the tools and technologies they use, common pitfalls, and much more.

So let's just jump into it!