Podcast appearances and mentions of brian platz

Summary A significant amount of time in data engineering is dedicated to building connections and semantic meaning around pieces of information. Linked data technologies provide a means of tightly coupling metadata with raw information. In this episode Brian Platz explains how JSON-LD can be used as a shared representation of linked data for building semantic data products. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is brought to you by Datafold – a testing automation platform for data engineers that finds data quality issues before the code and data are deployed to production. Datafold leverages data-diffing to compare production and development environments and column-level lineage to show you the exact impact of every code change on data, metrics, and BI tools, keeping your team productive and stakeholders happy. Datafold integrates with dbt, the modern data stack, and seamlessly plugs in your data CI for team-wide and automated testing. If you are migrating to a modern data stack, Datafold can also help you automate data and code validation to speed up the migration. Learn more about Datafold by visiting dataengineeringpodcast.com/datafold (https://www.dataengineeringpodcast.com/datafold) Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. You specify the customer traits, then Profiles runs the joins and computations for you to create complete customer profiles. Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack (https://www.dataengineeringpodcast.com/rudderstack) You shouldn't have to throw away the database to build with fast-changing data. You should be able to keep the familiarity of SQL and the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date. With Materialize, you can! It's the only true SQL streaming database built from the ground up to meet the needs of modern data products. Whether it's real-time dashboarding and analytics, personalization and segmentation or automation and alerting, Materialize gives you the ability to work with fresh, correct, and scalable results — all in a familiar SQL interface. Go to dataengineeringpodcast.com/materialize (https://www.dataengineeringpodcast.com/materialize) today to get 2 weeks free! If you're a data person, you probably have to jump between different tools to run queries, build visualizations, write Python, and send around a lot of spreadsheets and CSV files. Hex brings everything together. Its powerful notebook UI lets you analyze data in SQL, Python, or no-code, in any combination, and work together with live multiplayer and version control. And now, Hex's magical AI tools can generate queries and code, create visualizations, and even kickstart a whole analysis for you – all from natural language prompts. It's like having an analytics co-pilot built right into where you're already doing your work. Then, when you're ready to share, you can use Hex's drag-and-drop app builder to configure beautiful reports or dashboards that anyone can use. Join the hundreds of data teams like Notion, AllTrails, Loom, Mixpanel and Algolia using Hex every day to make their work more impactful. Sign up today at dataengineeringpodcast.com/hex (https://www.dataengineeringpodcast.com/hex) to get a 30-day free trial of the Hex Team plan! Your host is Tobias Macey and today I'm interviewing Brian Platz about using JSON-LD for building linked-data products Interview Introduction How did you get involved in the area of data management? Can you describe what the term "linked data product" means and some examples of when you might build one? What is the overlap between knowledge graphs and "linked data products"? What is JSON-LD? What are the domains in which it is typically used? How does it assist in developing linked data products? what are the characteristics that distinguish a knowledge graph from What are the layers/stages of applications and data that can/should incorporate JSON-LD as the representation for records and events? What is the level of native support/compatibiliity that you see for JSON-LD in data systems? What are the modeling exercises that are necessary to ensure useful and appropriate linkages of different records within and between products and organizations? Can you describe the workflow for building autonomous linkages across data assets that are modelled as JSON-LD? What are the most interesting, innovative, or unexpected ways that you have seen JSON-LD used for data workflows? What are the most interesting, unexpected, or challenging lessons that you have learned while working on linked data products? When is JSON-LD the wrong choice? What are the future directions that you would like to see for JSON-LD and linked data in the data ecosystem? Contact Info LinkedIn (https://www.linkedin.com/in/brianplatz/) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Fluree (https://flur.ee/) JSON-LD (https://json-ld.org/) Knowledge Graph (https://en.wikipedia.org/wiki/Knowledge_graph) Adjacency List (https://en.wikipedia.org/wiki/Adjacency_list) RDF == Resource Description Framework (https://www.w3.org/RDF/) Semantic Web (https://en.wikipedia.org/wiki/Semantic_Web) Open Graph (https://ogp.me/) Schema.org (https://schema.org/) RDF Triple (https://en.wikipedia.org/wiki/Semantic_triple) IDMP == Identification of Medicinal Products (https://www.fda.gov/industry/fda-data-standards-advisory-board/identification-medicinal-products-idmp) FIBO == Financial Industry Business Ontology (https://spec.edmcouncil.org/fibo/) OWL Standard (https://www.w3.org/OWL/) NP-Hard (https://en.wikipedia.org/wiki/NP-hardness) Forward-Chaining Rules (https://en.wikipedia.org/wiki/Forward_chaining) SHACL == Shapes Constraint Language) (https://www.w3.org/TR/shacl/) Zero Knowledge Cryptography (https://en.wikipedia.org/wiki/Zero-knowledge_proof) Turtle Serialization (https://www.w3.org/TR/turtle/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

In this episode, we dive into the world of data management and the power of blockchain technology with our special guest, Brian Platz, CEO and co-founder of Fluree. Fluree is a web3 company that has developed an innovative graph ledger database and data pipeline toolset for trusted and secure data management. In today's fast-paced business environment, data has become the new oil, and Fluree is at the forefront of leveraging blockchain technology to harness its potential. With their decentralized and trusted data storage capabilities, Fluree enables developers to store and manage data in a format that is crucial for the success and longevity of their clients' businesses. Join us as Brian Platz shares his valuable insights on various topics, including his takeaways from Fluree's recent Series A funding round. Discover why blockchain-based solutions remain essential for the future of business, even as the initial buzz has subsided. Brian will also delve into how Fluree's data-centric architecture provides access to clean and linked data, catering to a diverse range of data consumers. Don't miss this insightful conversation with Brian Platz as we explore the intersection of blockchain and data management, and uncover the potential it holds for businesses in today's digital landscape. Fluree homepage: https://flur.ee/ Light Overview (PDF): https://flur.ee/wp-content/uploads/2022/08/Fluree-Technical-Overview-v2.pdf Architecture Overview: https://app.livestorm.co/fluree/introduction-to-fluree-architecture?type=detailed

Venn joins Ethan for a look at the "Crypto Bowl" ads as well as some other pop culture blockchain references.  Ethan interviews Brian Platz Co-Founder and Co-CEO of Fluree and Dmitri Safine CTO of Ikigai Technologies at the 21:00 minute mark. 

Mathieu chats with Brian, Co-CEO of Fluree, an open-source platform for data ecosystems. The conversation covers data-centric architecture designs, and why organizations should look to move away from application-centric designs. If you don't consider doing so, macro trends around data privacy laws are driving us towards data centric models anyways. May as well get ahead of the curve and gain competitive advantages from data-centricity today! About Episode In this conversation, Brian and I discuss: What is data centricity and why do organizations need to shift away from application-centricity to data centricity? How to think about data centric architecture designs. The macro drivers for data centricity (regulatory privacy laws and cost / risk benefits). Why organizations don't need to own all of the data they consume. About Fluree's Semantic Graph technology. How Verifiable Credentials enable better data-centric use cases. Business use cases of Semantic Graph technology. The benefits of being a Public Benefit Corp. About Guest Brian is the Co-CEO and Co-Chairman of Fluree, an open-source platform for data ecosystems. Brian serves on the board of directors for Fuel 50, one of the highest growth HR technology startups. He is also the co-founder of A List Apart, a web publication, 22 book series, and global conference for the web development community to expand their knowledge. Follow Brian Platz Twitter: https://twitter.com/bplatz LinkedIn: https://www.linkedin.com/in/brianplatz/ Follow Mathieu Glaude Twitter: https://twitter.com/mathieu_glaude LinkedIn: https://www.linkedin.com/in/mathieuglaude/

Fluree is a hitherto under the radar graph database that uses blockchain to support data lineage and verification. Learn all about Fluree, its origins and milestones, use cases, data integration and integrity, open source, and more Featuring Brian Platz, Fluree co-founder and co-CEO.  Article published on ZDNet

SHOW: 411DESCRIPTION: Brian talks with Brian Platz (@bplatz, CEO/Co-Founder at @Flureee) about blockchain use-cases outside of cryptocurrencies, immutable data, graph databases, and building APIs on data. SHOW SPONSOR LINKS:Datadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirtDigital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital Ocean[FREE] Try an IT Pro ChallengeGet 20% off VelocityConf passes using discount code CLOUDCLOUD NEWS OF THE WEEK:Microsoft acquires JClarityAWS forbids partners from mentioning multi-cloudDoes the VMware buying Pivotal announcement happen this week or during VMworld?SHOW INTERVIEW LINKS:Fluree Homepage - Business Application PlatformBrian Platz on Hackernoon [podcast]SHOW NOTES:Topic 1 - Welcome to the show. Before we jump into Fluree and the breadth of technologies that power the stack, let’s talk about your background and what drove you to create Fluree. Topic 2 - Let’s start with the problems - why does the industry need a new data management stack? What types of use-cases or data-management problems does the Fluree stack address?Topic 3 - Let’s talk about the Fluree stack, because it brings together several technologies (e.g. Blockchain, GraphQL, etc.) that have gotten a lot of hype, but people aren’t always sure how they should be used. Topic 4 - When we step back and look at the Fluree stack, we see a focus around distributed architectures, immutability, graph data richness. Much of this sounds like it aligns to aspects of what is known as the Semantic Web. Are there connections there?Topic 5 - Let’s talk about your philosophy about API management and exposing data at the data-layer instead of the app-layer. What are the pros and cons of this sort of trade-off, and what are some of the things either data or app teams need to consider with this approach?FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast

In this episode I speak with Brian Platz of Fluree, a database that packs Blockchain, GraphQL, change reversion and much more. I also cover my geeky squeaks for the week including cashless society, the number 3 mobile OS, mapping works of ancient history and more. https://chrischinchilla.com/podcasts @chrischinch --- Send in a voice message: https://anchor.fm/theweeklysqueak/message

Episode 26 of the Hacker Noon Podcast: An interview with Brian Platz, Co-CEO of Fluree. Today’s show would not be possible without Digital Ocean. Learn more at do.co/hackernoon. In this episode Trent Lapinski and Brian Platz discuss database blockchain technology and the variety of approaches to building decentralized applications. “I think a lot starts changing when you can actually trust the data.” “With Fluree, you can actually grab the exact version of the database that was being used for that integration at exactly 12:01 AM and 0.23 milliseconds, and you can actually see and know what was in there, figure out what broke, and fix it.” —Brian Platz Production and music by Derek Bernard - https://haberdasherband.com/production Host: Trent Lapinski - https://trentlapinski.com

In this episode of Modern Enterprise Podcast, we talk with Brian Platz, Founder and CEO of Fluree on Blockchain Databases, how Fluree is addressing the market, the use cases for Blockchain databases and the future of Blockchain --- Support this podcast: https://anchor.fm/modernenterprise/support

In this episode I'm joined by Brian Platz from FlureeDB and we talk about a new kind of NoSQL database that is both Graph and Document and leverages the blockchain.

Blockchain technologies are changing the way we think about data archival and storage. For instance, most database systems can only capture the current state of a data set. This means we must rely on secondary backup systems to ensure historical data can remain accessible, a stark contrast from what the most basic of blockchains provide out of the box. Database systems that offer immutability and historical context for data would be greatly beneficial for companies as it would make internal and external audits much less costly and time-intensive. We’re delighted to bring you an interview with Flip Filipowski and Brian Platz. Flip is a veteran entrepreneur whose career spans 50 years, having worked for and founded some of the world’s largest software companies of the 80’s and 90’s. He is also the CEO of SilkRoad Equity and a Founding Partner of Tally Capital. Brian’s background includes having founded A List Appart in 1994, which is among the oldest and most influential web development blogs, and SilkRoad Technologies. Flip and Brian join us to talk about their new company, Fluree. Their product, FlureeDB, is a scalable graph database which provides the benefits of blockchain technologies, such as immutability, replayability and fault tolerance. Currently, in development, the goal for FlureeDB is to support various consensus rules based on the network configuration: private systems, federated (or consortium) clusters, and fully decentralized public networks. Topics covered in this episode: Flip and Brian’s respective backgrounds and entrepreneurial ventures How blockchain will disrupt most major companies that exist today FlureeDB and the problem it is trying to solve How FlureeDB improves compliance procedures for enterprise How FlureeDB can address some of the challenges ahead with regards to GDPR FlureeDB’s technical infrastructure and elementary components The different consensus modes and scalability properties of FlureeDB Why they chose to structure the company as a Public Benefit Corporation FlureeDB’s development roadmap Episode links: Fluree Website FlureeDB Whitepaper Blockchain, Meet Database This episode is hosted by Sébastien Couture. Show notes and listening options: epicenter.tv/216

Welcome to the Minter Dialogue Radio Show number #27. I attended the Netexplo Forum 2012 on March 15-16, held at the marvelous UNESCO headquarters, in Paris. Netexplo is an observatory of new tech trends around the world, with which I have been associated for the last couple of years. There were ten award winners highlighted at the event, each coming from the four corners of the world and each with a very interesting angle. In the fifth and last of this series, I caught up with Brian Platz, COO and co founder of Silkroad Point. Silkroad Point is cloud-based system providing social talent management software and solutions for HR… Among its many facets, it will help HR calculate an employee's level of influence in social media circles… A most fascinating concept, based on a sound principle: that, especially in knowledge work, employees work better when they are better appreciated and understood! Meanwhile, you can comment and find the show notes on themyndset.com where you can also sign up for my weekly newsletter. Or you can follow me on Twitter on @mdial. And, if you liked the podcast, please take a moment to go over to iTunes to rate the podcast.Enjoy the show!Support the show (https://www.patreon.com/minterdial)

En este episodio conversamos con Brian Platz, co-fundador y co-CEO de flur.ee. Brian nos comentó un poco acerca de su historia hasta llegar a fundar una empresa que está desarrollando infraestructura de base de datos para casos de uso donde la colaboración y el linaje y proveniencia de los datos son muy relevantes. Pudimos contrastar este nuevo paradigma con el de las bases de datos más tradicionales y conocer una nueva tecnología que está ganando terreno.