Recursos de programación de go
Cuando se quiere llegar a un cierto nivel de rendimiento y paralelismo, se imponen las arquitecturas orientadas a eventos por encima de las APIs síncronas. En esta charla diseñaré y construiré una arquitectura de alto rendimiento utilizando Go y Kafka, mostrando cómo exprimir productores y consumidores para maximizar la eficiencia del sistema.
The Suitcase project is made of a battery-powered suitcase using development boards based on ESP32 microcontrollers Raspberry Pis and a 4G connection and OCI Services. The goal of this project is to enable design and rapid prototyping of stream analysis of events generated by the Suitcase. You will learn how to develop and deploy analytics pipelines that process the events coming from Suitcase and send back the results in case of anomalies and errors.
The remarkable advances in Data, Analytics and AI have fostered a widespread adoption of Machine Learning (ML) capabilities within many products and services we use and consume everyday, ranging from navigation apps up to health-support systems. Nonetheless, implementing ML solutions is still a complex endeavour, and many organizations are struggling to fully exploit the strategic advantages of AI. In this talk, we’ll cover the key concepts that are critical to harness Data & AI leveraging what we have learned from implementing complex software and data-heavy developments in multiple projects. We’ll go through the three stages that we consider when dealing with data products, and we’ll also introduce the principles of Machine Learning Ops (MLOps), a concept that has gained momentum over the last months.
BPMN is often seen as boring ‘Business Speak’. In reality, it is just a way to automate things, and since it’s called the Internet of Things why not automate those things too! With an estimated 75% of IoT deployments failing to deliver on their promises (and 30% dying in the proof of concept phase) it’s clearly time to approach IoT deployments differently. It’s time to design, implement, build and deploy IoT projects from a business perspective rather than a technical standpoint. In this talk I’ll go through a complete IoT solution in 3 iterations to show how Business Process Management platforms can quickly iterate on an IoT solution to deliver maximum benefit. Enough business-speak! I’m going to build a Skittles (candy) dispenser based on IoT and controlled by BPMN, with a little AI thrown in! I’ll run the entire demo live, so if the prospect of watching a demo fail in front of a live audience is what gets you excited, this talk is for you! It’s also for you if you’re struggling to build a business case for your IoT project.
The biggest Google tech event in Spain, carefully crafted for you by GDGMálaga community! Awesome speakers and lots of fun! Do you want to learn how to use Flow (and StateFlow)? Let's use it to create an musical app, to compose together this symphony, applying reactive rhymes and using as base the MVI architecture in Android. In this talk we will share a journey to create a musical app in Android, applying the latest concurrency trends from Kotlin and this beloved reactive Android architecture. We will go from the origins and basics of the architecture, its advantages (and downsides), to the current implementation using the Flow API. #GDGMálaga`22 #DevFestMáalga #BiznagaFest Síguenos en nuestras redes para estar al día de las novedades: - Twitter: https://goo.gl/MU5pUQ - Instagram: https://lk.autentia.com/instagram - LinkedIn: https://goo.gl/2On7Fj/ - Facebook: https://goo.gl/o8HrWX
Distributed systems are inherently complex and exposed to failures in their components. While distributed algorithms try to do their best in handling node and network failures, it is often not possible to mask them. In the presence of failures, systems that thrive for high availability need to allow users to always submit operations and observe the local state (ensuring local-first), leading to potential divergence. Designs with Conflict-free Replicated Data Types (CRDTs) have been used extensively to guarantee that it is possible to converge to a state that reflects concurrent operations. Recent proposals show that it is possible to go beyond state convergence and use CRDTs as a basis for providing additional system-wide guarantees on individual data items, non-negative inc/dec counters, and cross-item guarantees such as referential integrity. This talk introduces the main concepts underpinning CRDTs and these recent proposals.
Hablamos directamente con Marcos Muíño y Álvaro Gómez, co-fundador y líder técnico de YepCode. Nos contarán cómo han arrancado este nuevo servicio similar a Zapier o n8n para hacer automatizaciones donde el NoCode no es suficiente 😊 Veremos cositas como: - Casos de uso reales con YepCode - Stack tecnológico escogido - Diseño y Arquitectura implementado (Microservicios, DDD, testing…) - Código de producción de YepCode - Infraestructura montada (k8s, instalaciones on-premise…) {▶️} CodelyTV ├ 🎥 Suscríbete: https://youtube.com/c/CodelyTV?sub_confirmation=1 ├ 🐦 Twitter CodelyTV: https://twitter.com/CodelyTV ├ 💡 Twitter Marcos Muíño: https://twitter.com/mmuino ├ 🧔🏻 Twitter Javi: https://twitter.com/JavierCane ├ 📸 Instagram: https://instagram.com/CodelyTV ├ ℹ️ LinkedIn: https://linkedin.com/company/codelytv ├ 🟦 Facebook: https://facebook.com/CodelyTV └ 📕 Catálogo cursos: https://bit.ly/cursos-codely
En el episodio de hoy seguimos analizando los distintos frameworks de adopción propuestos por los proveedores Cloud y, en concreto, nos centramos en la propuesta de Azure. Ya estuvimos hablando en un capítulo anterior de las primeras etapas de este framework (Strategy y Plan) y en esta segunda entrega profundizaremos en las etapas de preparación (Ready) y migración e innovación (Adopt). Ponente: Rubén Villar Escudero, Arquitecto Cloud en Paradigma Digital. Si te perdiste el episodio anterior de esta serie, puedes escucharlo aquí: https://go.ivoox.com/rf/83038849 ¿Quieres ver otros tutoriales? https://www.youtube.com/c/ParadigmaDigital/playlists ¿Quieres escuchar nuestros podcasts? https://www.ivoox.com/podcast-apasionados-tecnologia_sq_f11031082_1.html ¿Quieres saber cuáles son los próximos eventos que organizamos?: https://www.paradigmadigital.com/eventos/
Building Data Literacy as the Foundation of your Enterprise Data Culture by Eva Murray at Big Things Conference. Organisations are under pressure to maximise the return on their investment in data and analytics. As analytics tools become available to an increasingly large audience, data literacy is lagging behind and businesses face the risk of missing their targets. At first this may seem counter-intuitive. After all, organisations have spent large sums of money on hiring data experts and acquiring the right tools and solutions to create, collect, store and manage massive amounts of data. While many organisations are analysing data to inform their decision making and strategic direction across product development, supply chain, marketing, sales and support, a large part of them still struggle to fully align their people, processes and technology for maximum effectiveness. In other words, they have the data, but they are struggling to get real insights out of it. This is why data literacy is quickly becoming an essential skill for professionals in modern enterprises. If organisations want their analysts and knowledge workers to go beyond reporting historical observations and use data to drive decision making at a strategic level, then they must devote themselves to increasing the data literacy in their organisation. In this talk Eva Murray, Senior Evangelist at Snowflake, author, data visualisation expert and recognised thought leader on data culture and data communities, will share why it is so important to equip your people with data skills and how you can achieve a data literate workforce. Eva will also provide you with practical steps for developing a strong data culture in your organisation so you can ensure that your data literate analysts and knowledge workers can effectively share and spread their enhanced insights. Based on her experience working with thousands of analysts over the past five years, Eva has developed a framework that provides a balance of planning and preparation followed by practical application and execution. As she shares this framework during the talk you can expect specific takeaways that you can implement in your team, department and organisation straight after. People working with data – be they data analysts, business analysts, data scientists, researchers or any other professional relying on data to do their job – need to be equipped with the necessary skills and knowledge to treat data correctly and apply tools to their greatest effect. While many professionals have attained advanced degrees at colleges and universities, where statistical analysis, research projects and surveys were part of the curriculum, this part of their journey is often years if not decades in the past. Leaders and the organisations that employ them must ensure that those working with data and given responsibility to create insights for driving business decisions, are taught basic data literacy skills and are trained in working with data. Many modern analytics tools make it incredibly easy for people to work with data but can mask a lack of knowledge or understanding. With this talk Eva wants to encourage leaders to place more emphasis on education and ongoing development for their data professionals as well as their business people to ensure that the data driven culture they are working to build is based not just on facts and data but also on the correct handling of data and reliable internal processes.
Data Fabric, Transform your Frozen Data into liquid adaptable Data by Oscar Mendez at Big Things Conference From Data Ice Age to Adaptable Data Innovation Age. According to most of the analysts, “Data Fabric” is the current most important technology trend for 2022. In this talk we will discuss how “Data Fabric” is able to transform your current data from frozen Data inside rigid schemas in Data Silos, to liquid data that is able to adapt to different use cases and consumers, adopting new forms and shapes with dynamic schemas. We will see how this transforms the main Data use cases your company is using now, to generate maximum value from Data in a fraction of the time We will also go over some of the technologies related to “Data Fabric” automation: from AI to Automated Data Governance, Graph technologies, ontologies, semantic queries, Data Marketplace, Smart Data Contracts, and containers, as the new way to allow the data to adapt to the users and stop forcing the users to adapt to the data.