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FabFest 2024 - Birmingham
2024-10-03 · 08:00
This October the Birmingham Microsoft Data Platform User Group is launching a FREE brand new in-person event! Introducing, FabFest 2024!!🎉 It will take place at Millennium Point in Birmingham on October 3rd.
A full day’s learning and networking, and some free refreshment thrown in to boot. Join us and delve into the world of Microsoft Fabric and AI, featuring seven dynamic sessions. Attendees will start with an introduction plus the latest news from Fabric and AI, then progress to more advanced, practical sessions designed to provide a comprehensive understanding and hands-on experience. Agenda: 09:20 - Alex Whittles – CEO of Purple Frog Understanding Microsoft Fabric Get a deep dive into Microsoft Fabric and how it’s shaping the future of data platforms. 10:25 - Lewis Prince – AI Engineer at Purple Frog Systems Introduction to AI; What, Why and How? In this session Lewis will break down the stigmas on AI and talk about how AI solutions can help any business in any sector. 11:20 - Barney Lawrence – Specialist Microsoft Data Platform Analytics and Engineering Consultant. What's What and Who's Who? Cross System Record Linkage in Fabric Barney will cover the basics of what deterministic, fuzzy, and probabilistic matching are and then dive into creating and applying a model to example data and look at how to analyse the results. 12:40 - James Dales - CEO at Tekantis Realtime streaming data with Microsoft Fabric James will use the Real-Time Intelligence capabilities of Microsoft Fabric to ingest live aircraft flight data as they are flying right now! 13:35 - Joe Billingham – Senior Data Engineer at Purple Frog Systems Harnessing the Power of the DAX Engine: Storage vs Formula Joe will be breaking down the DAX engine, explaining the difference between the storage and formula engines and how understanding this can help optimisation. 14:40 - Abhinav Jayanty – Data Engineer at Quorum Moneyball: How Data has Revolutionised Analytics in Sports Dive into how data analytics has transformed the world of sports, enhancing strategies and driving performance. 15:35 - Paul Andrew – Co-Founder & CTO of Cloud Formations Administering Microsoft Fabric: Capacities, Workspaces, and Domains In this session, Paul will explore the administration of Microsoft Fabric, with a focus on the organisation and management of data storage/compute through the configuration of capacities, domains, data products, environments and workspaces. For the full agenda and timing, please visit Agenda – FabFestConf Please let us know if you have registered and can no longer attend as this frees up space for another attendee. Sponsors: Purple Frog Systems Power BI Sentinel RP Analytics |
FabFest 2024 - Birmingham
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FinOps and GreenOps: Pour une Informatique plus Durable et plus Rentable
2024-10-02 · 15:00
Notre soif de puissance de calcul et notre appétit pour les données génèrent une hausse significative des coûts informatiques. Ils contribuent également largement à la hausse des émissions de carbone, qui épuisent nos réserves en électricité et en eau potable. Alors que l’usage du cloud et de l’IA ne cesse de croître, bon nombre d’entre nous mettent en place des solutions pour que cet engouement s’opère tout en préservant notre planète. Rejoignez-nous et vos pairs de la communauté Sustainable Cloud lors de notre prochain Meetup à Paris, organisé par IBM. Un programme chargé qui comprend des intervenants experts et des sessions interactives en petits groupes. Examinons ensemble de près comment nous pouvons utiliser les stratégies FinOps et GreenOps pour rendre l’IT rentable ET durable. 16:30 Accueil 17:00 Bienvenue & Introduction (Mike Bradbury, Antoine Lagier) 17:10 Keynote - Arkema; notre parcours FinOps (Philippe le Blevec) 17:20 Débats éclairs - Samuel Rince\, Algune - Francois Moriamez\, Thales - Carole Crumbach\, Orwell Consulting - James Hall\, GreenPixie - Alex Long\, Apptio 18:00 Tables rondes 18:15 Cocktails & Networking 19:00 Fin Avis de confidentialité: En vous inscrivant à ce meetup vous consentez au traitement de vos informations personnelles à des fins de gestion et de communication de l'événement. Vos données pourront être partagées avec l'organisateur et les sponsors, uniquement si nécessaire pour le bon déroulement de l'événement. Vous disposez des droits de retrait, d'accès, de correction et de suppression de vos données personnelles. Si vous souhaitez vous désinscrire ou si vous avez des questions concernant l'utilisation de vos données, veuillez nous contacter à [email protected] |
FinOps and GreenOps: Pour une Informatique plus Durable et plus Rentable
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Scaling The Heights: Balancing Growth and Identity
2024-04-18 · 17:00
Scaling The Heights: Balancing Growth and Identity🚀 "How far do we take the scaling?" you may ask. To the moon, we say. But in practical terms, what does that mean? Join us at the Engineering Roundabout "Scaling The Heights: Balancing Growth and Identity", hosted by The Trade Desk. Our Panellists: ⭐️James Budnik: Principal Recruiter, R&D at The Trade Desk ⭐️Alex Kestenbaum: Production Engineering Manager at The Trade Desk ⭐️Cheyrll Razzel: Head of Compute (Solution Architecture) at AWS ⭐️Chelsea Snell: Chief of Staff, Ex-Google, Ex-Uber Ready to kick off April with a bang? 🗓️Date: April 18, 2024 🕧Time: 6:00 PM - 9:00 PM 📍Location: One Bartholomew Barts Square, 10th Floor, London, EC1A 7BL 🚇 Nearest Station: Barbican, Farringdon Learn how to scale your engineering whilst staying true to your unique identity. Discover the secrets to success from industry leaders who've been there, done that! Check out the Promo video: https://shorturl.at/givN4 🎟️ Limited RSVPs: We anticipate high demand for this event, and spots are limited. Secure your place early to be part of this enriching experience. |
Scaling The Heights: Balancing Growth and Identity
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Big Data
2015-04-30
James Warren
– author
,
Nathan Marz
– author
Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. About the Technology About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Reader This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Quotes Transcends individual tools or platforms. Required reading for anyone working with big data systems. - Jonathan Esterhazy, Groupon A comprehensive, example-driven tour of the Lambda Architecture with its originator as your guide. - Mark Fisher, Pivotal Contains wisdom that can only be gathered after tackling many big data projects. A must-read. - Pere Ferrera Bertran, Datasalt The de facto guide to streamlining your data pipeline in batch and near-real time. - Alex Holmes, Author of "Hadoop in Practice" |
O'Reilly Data Engineering Books
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