Gartner analysts are tasked with identifying promising companies each year that are making an impact in their respective categories. For businesses that are working in the data management and analytics space they recognized the efforts of Timbr.ai, Soda Data, Nexla, and Tada. In this episode the founders and leaders of each of these organizations share their perspective on the current state of the market, and the challenges facing businesses and data professionals today.
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- Your host is Tobias Macey and today I’m interviewing Saket Saurabh, Maarten Masschelein, Akshay Deshpande, and Dan Weitzner about the challenges facing data practitioners today and the solutions that are being brought to market for addressing them, as well as the work they are doing that got them recognized as "cool vendors" by Gartner.
- How did you get involved in the area of data management?
- Can you each describe what you view as the biggest challenge facing data professionals?
- Who are you building your solutions for and what are the most common data management problems are you all solving?
- What are different components of Data Management and why is it so complex?
- What will simplify this process, if any?
- The report covers a lot of new data management terminology – data governance, data observability, data fabric, data mesh, DataOps, MLOps, AIOps – what does this all mean and why is it important for data engineers?
- How has the data management space changed in recent times? Describe the current data management landscape and any key developments.
- From your perspective, what are the biggest challenges in the data management space today? What modern data management features are lacking in existing databases?
- Gartner imagines a future where data and analytics leaders need to be prepared to rely on data management solutions that make heterogeneous, distributed data appear consolidated, easy to access and business friendly. How does this tally with your vision of the future of data management and what needs to happen to make this a reality?
- What are the most interesting, innovative, or unexpected ways that you have seen your respective products used (in isolation or combined)?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on your respective platforms?
- What are the upcoming trends and challenges that you are keeping a close eye on?
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
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