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GBA Public Webinar "Blockchain Injects Trust & Assurance into Health Data, Analytics & Clinical AI" 12 noon EDT Wednesday, April 23rd as part of GBA's Healthcare & Life Sciences Monthly Webinar Series

Government Blockchain Association's Healthcare & Life Science Month Public Webinar on "How Blockchain is Injecting Trust & Assurance into Health Data, Analytics & Clinical AI" April 23, Wednesday 12 noon to 1pm

Join us for the Government Blockchain Association's (GBA) Healthcare & Life Sciences (HLS) Monthly Webinar Series, taking place the 4th Wednesday of every month from 12-1pm EST. Each month will deliver a deep-dive into a specific topic or theme being taken up by the HLS Working Group.

Join the Webinar at https://us06web.zoom.us/webinar/register/WN_r8DP_2fMSqeFd2kg0MUksA or https://rb.gy/26ocq9.

Clinical Squared Chief Executive Officer Marquis Allen will discuss Blockchain utility for Healthcare enterprise & government, blockchain identity opportunities and where AI projects that benefit from a blockchain layer.

Heather Leigh Flannery Chair\, GBA HLS Working Group \| Host\, Monthly HLS Livestream Series· Government Blockchain Association Heather Leigh Flannery is an applied futurist, technologist, policy and patient advocate, and complex systems theorist. She co-founded AI MINDSystems Foundation in March 2024 with Chief Scientific Officer, Sean Manion, PhD, and other leaders with a timely vision for structural interventions for humanity's health, safety, prosperity, and privacy, and serves as CEO. Heather also Chairs the Healthcare & Life Sciences Working Group at the Government Blockchain Association (GBA) and the Washington, DC Chapter of AI 2030, and develops standards at IEEE.

Marquis Allen Chief Executive Officer Clinical Squared As an IT professional for the past 20+ years, Marquis has had the great opportunity to work with many innovative organizations. When he transitioned into the clinical IT space, his fascination for the possibilities of what technology could do was piqued by learning about the complex problems that clinical practices face in leveraging technology to care for patients in the 21st century. Blockchain and AI took center stage, and form the foundations of differentiating value Clinical Squared is bringing the US Federal and state government and commercial clients.

About GBA

The Government Blockchain Association (GBA) is a nonprofit (501c6) organization committed to advancing blockchain technology standards, facilitating industry education, and ensuring a trusted, secure ecosystem for blockchain solutions. For more information, visit https://gbaglobal.org/.

For more information contact Bob Miko, [email protected] 203 378 2803

-- Bob Miko GBA Director of Public Relations Editor in Chief/Producer Pacific Dialogue 203 378 2803 [email protected]

Summary

Data oriented applications that need to operate on large, fast-moving sterams of information can be difficult to build and scale due to the need to manage their state. In this episode Sean T. Allen, VP of engineering for Wallaroo Labs, explains how Wallaroo was designed and built to reduce the cognitive overhead of building this style of project. He explains the motivation for building Wallaroo, how it is implemented, and how you can start using it today.

Preamble

Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure When you’re ready to launch your next project you’ll need somewhere to deploy it. Check out Linode at dataengineeringpodcast.com/linode and get a $20 credit to try out their fast and reliable Linux virtual servers for running your data pipelines or trying out the tools you hear about on the show. Continuous delivery lets you get new features in front of your users as fast as possible without introducing bugs or breaking production and GoCD is the open source platform made by the people at Thoughtworks who wrote the book about it. Go to dataengineeringpodcast.com/gocd to download and launch it today. Enterprise add-ons and professional support are available for added peace of mind. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch. You can help support the show by checking out the Patreon page which is linked from the site. To help other people find the show you can leave a review on iTunes, or Google Play Music, and tell your friends and co-workers Your host is Tobias Macey and today I’m interviewing Sean T. Allen about Wallaroo, a framework for building and operating stateful data applications at scale

Interview

Introduction How did you get involved in the area of data engineering? What is Wallaroo and how did the project get started? What is the Pony language, and what features does it have that make it well suited for the problem area that you are focusing on? Why did you choose to focus first on Python as the language for interacting with Wallaroo and how is that integration implemented? How is Wallaroo architected internally to allow for distributed state management?

Is the state persistent, or is it only maintained long enough to complete the desired computation? If so, what format do you use for long term storage of the data?

What have been the most challenging aspects of building the Wallaroo platform? Which axes of the CAP theorem have you optimized for? For someone who wants to build an application on top of Wallaroo, what is involved in getting started? Once you have a working application, what resources are necessary for deploying to production and what are the scaling factors?

What are the failure modes that users of Wallaroo need to account for in their application or infrastructure?

What are some situations or problem types for which Wallaroo would be the wrong choice? What are some of the most interesting or unexpected uses of Wallaroo that you have seen? What do you have planned for the future of Wallaroo?

Contact Info

IRC Mailing List Wallaroo Labs Twitter Email Personal Twitter

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?

Links

Wallaroo Labs Storm Applied Apache Storm Risk Analysis Pony Language Erlang Akka Tail Latency High Performance Computing Python Apache Software Foundation Beyond Distributed Transactions: An Apostate’s View Consistent Hashing Jepsen Lineage Driven Fault Injection Chaos Engineering QCon 2016 Talk Codemesh in London: How did I get here? CAP Theorem CRDT Sync Free Project Basho Wallaroo on GitHub Docker Puppet Chef Ansible SaltStack Kafka TCP Dask Data Engineering Episode About Dask Beowulf Cluster Redis Flink Haskell

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast

Storm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams. This immediately useful book starts by building a solid foundation of Storm essentials so that you learn how to think about designing Storm solutions the right way from day one. But it quickly dives into real-world case studies that will bring the novice up to speed with productionizing Storm. About the Technology It's hard to make sense out of data when it's coming at you fast. Like Hadoop, Storm processes large amounts of data but it does it reliably and in real time, guaranteeing that every message will be processed. Storm allows you to scale with your data as it grows, making it an excellent platform to solve your big data problems. About the Book Storm Applied is an example-driven guide to processing and analyzing real-time data streams. This immediately useful book starts by teaching you how to design Storm solutions the right way. Then, it quickly dives into real-world case studies that show you how to scale a high-throughput stream processor, ensure smooth operation within a production cluster, and more. Along the way, you'll learn to use Trident for stateful stream processing, along with other tools from the Storm ecosystem. What's Inside Mapping real problems to Storm components Performance tuning and scaling Practical troubleshooting and debugging Exactly-once processing with Trident About the Reader This book moves through the basics quickly. While prior experience with Storm is not assumed, some experience with big data and real-time systems is helpful. About the Authors Sean Allen, Matthew Jankowski, and Peter Pathirana lead the development team for a high-volume, search-intensive commercial web application at TheLadders. Quotes Will no doubt become the definitive practitioner’s guide for Storm users. - From the Foreword by Andrew Montalenti The book’s practical approach to Storm will save you a lot of hassle and a lot of time. - Tanguy Leroux, Elasticsearch Great introduction to distributed computing with lots of real-world examples. - Shay Elkin, Tangent Logic Go beyond the MapReduce way of thinking to solve big data problems. - Muthusamy Manigandan, OzoneMedia