# Frank Mcsherry
Principais episódios de podcast
Atualizada:
frank mcsherry is a computer scientist. His areas of research include distributed computing and information privacy. He is known, along with Cynthia Dwork, Adam D. Smith, and Kobbi Nissim, as one of the co-inventors of differential privacy, for which he won the 2017 Gödel Prize.
Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine
Summary
Software development involves an interesting balance of creativity and repetition of patterns. Generative AI has accelerated the ability of developer tools to provide useful suggestions that speed up the work of engineers. Tabnine is one of the main platforms offering an AI powered assist…
Unlocking Your dbt Projects With Practical Advice For Practitioners
Summary
The dbt project has become overwhelmingly popular across analytics and data engineering teams. While it is easy to adopt, there are many potential pitfalls. Dustin Dorsey and Cameron Cyr co-authored a practical guide to building your dbt project. In this episode they share their hard-won …
Addressing The Challenges Of Component Integration In Data Platform Architectures
Summary
Building a data platform that is enjoyable and accessible for all of its end users is a substantial challenge. One of the core complexities that needs to be addressed is the fractal set of integrations that need to be managed across the individual components. In this episode Tobias Macey …
Interview with Materialize - Consistency
In this podcast, we interview Arjun Narayan, Frank McSherry, and Nikhil Benesch from Materialize. Ralph and I are writing a book on streaming databases and seeking expert insights from Materialize on topics rarely discussed in the field. We begin by exploring the distinction between operational and…
Designing Data Transfer Systems That Scale
Summary
The first step of data pipelines is to move the data to a place where you can process and prepare it for its eventual purpose. Data transfer systems are a critical component of data enablement, and building them to support large volumes of information is a complex endeavor. Andrei Tserakh…
Run Your Own Anomaly Detection For Your Critical Business Metrics With Anomstack
Summary
If your business metrics looked weird tomorrow, would you know about it first? Anomaly detection is focused on identifying those outliers for you, so that you are the first to know when a business critical dashboard isn't right. Unfortunately, it can often be complex or expensive to incor…
Adding An Easy Mode For The Modern Data Stack With 5X
Summary
The "modern data stack" promised a scalable, composable data platform that gave everyone the flexibility to use the best tools for every job. The reality was that it left data teams in the position of spending all of their engineering effort on integrating systems that weren't designed wi…
Troubleshooting Kafka In Production
Summary
Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Operating it at scale, however, is notoriously challenging. Elad Eldor has experienced these challenges first-hand, leading to his work writing the book "Kafka: : …
Designing Data Platforms For Fintech Companies
Summary
Working with financial data requires a high degree of rigor due to the numerous regulations and the risks involved in security breaches. In this episode Andrey Korchack, CTO of fintech startup Monite, discusses the complexities of designing and implementing a data platform in that sector.…
SE Radio 504: Frank McSherry on Materialize
Frank McSherry, Chief Scientist at Materialize talks to Host Akshay Manchale about Materialize which is a SQL database that maintains incremental views over streaming data. Frank talks about how Materialize can complement analytical systems...
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