Name: Machine Learning Meets NoSQL: Python UDFs
Start: 2021-12-29T15:23:00Z
End: 2021-12-29T15:23:24.000Z
Location: BrightTALK
Rating: 0

At Couchbase, we believe data is at the heart of the enterprise. We empower developers and architects to build, deploy, and run their most mission-critical applications. Couchbase delivers a high-performance, flexible and scalable modern database that runs across the data center and any cloud. Many of the world’s largest enterprises rely on Couchbase to power the core applications their businesses depend on.

Telecommunications software company Mavenir made   the switch from relational to NoSQL with Couchbase – and what a difference it's made. When using a traditional RDBMS, Mavenir encountered challenges with replication between geo-redundant sites. Scaling a cluster without impacting their application simply wasn't possible, but Couchbase Cluster makes scaling smooth with zero app impact, and overall performance has increased significantly.  

In this session, you'll learn how Mavenir redesigned its architecture for optimal performance, and developed a custom monitoring package for failover, recovery, and rebalancing with Couchbase Cluster.

Mavenir Scales Workloads by Moving from Relational to NoSQL

SRE teams aim to ensure that the platforms and services used by the orgs they support are available, efficient, and scalable. The scope of SRE duties ranges from the automation of installations to implementations and monitoring changes required for scaling up/down. To achieve these goals, teams rely on business best practices as well as quality software tools. Ease of maintenance and implementation, as well as quality support from vendors, matters! 

In this session, Xavier Pestel – SRE at Weborama and influencer of the developer community in France – will provide you with critical insights and demonstrate the Couchbase features that allow him to approach his job with confidence. He’ll share how the Couchbase administration console saves him time in: 
- Clusters and buckets management 
- Monitoring 
- Upgrades 
- Sharing logs (with support) 
- Command line and API 

Live demo: How to provision a Couchbase cluster test using Vagrant

Weborama - How Couchbase Makes an SREs Life Easier

In this session you’ll learn how Citigroup architected a Market Data System (Scala, Java, TypeScript) storing billions of data points within Couchbase, scaling up to over a thousand concurrent connections within an Agile DevOps environment.

Challenge:
Manage billions of data points on a timeline of around 20 years
Support queries that return within milliseconds that are either single data point in time, a sequential block of time, or “walk” the timeline in a pattern
Provide real-time calculations and enrichment during queries
Deliver response times less than 100ms
Can scale up to high number of concurrent queries

Technical solution/architecture:
Reactive Streams technology that integrates with Couchbase NoSQL reactive technologies
JSON-specific optimizations

Citi: Streams in Space and Time

Couchbase Server 7.0 fuses the structure of legacy/relational databases with the flexibility and scale of NoSQL. If your legacy or mainframe systems are feeling strained, you can offload and/or migrate workloads to Couchbase. This session will show the three basic steps to getting started with an offload or migration effort using automation and semi-automation. First, map your relational model directly to Couchbase. Second, use N1QL, ACID, and SDKs to shift your application code. Finally, refactor your data model and optimize to get the most out of Couchbase. We'll end the session with some practical patterns, tools, frameworks, and considerations to make your transition as efficient and seamless as possible.

Legacy to Modern in Three Steps With Couchbase

In this session, learn how Emirates reached new heights in aircraft maintenance. You’ll hear about:

- The complex requirements, such as providing real-time data capture, that must be shared with multiple stakeholders
- How Emirates architected the end-to-end digitization of their technical logs
- The technical challenges overcome using Couchbase technology

Emirates: A Leap in Digital Paperless Journey of Aircraft Maintenance

Statistica's "Forecast Revenue Big Data Market Worldwide 2011-2027" report predicts that the global big data market is forecasted to grow to $103 billion USD by 2027 - more than double its expected market size in 2018. Attributed to the rise of multiple social networks, mobile platforms and cloud infrastructures, legacy technologies are struggling to keep up with the challenges and demands of modern applications. 

In this digital economy, it’s essential that organizations know how to best utilize their massive stories of data, and many look towards NoSQL databases to support rapidly changing customer requirements with frequent application updates to cloud and new mobile platform trends. Today’s organizations need to understand not only what a NoSQL database can do for them, but to be able to select which NoSQL database meets their needs. In Addressing Modern Digital Economy Needs with NoSQL, host Anthony Farinha and guest Saurabh Shanbhag will discuss why the most successful enterprises rely on NoSQL database applications, and look at how organizations can determine the right NoSQL database to address their data needs. 

Join them to learn more about:
- How the right database can develop, deploy and scale applications to meet your organization’s needs
- How NoSQL can support multiple users and scale on demand while staying available and meeting UX requirements
- Supporting multiple applications with different data structures with no downtime, including mobile platforms
- Scaling beyond SQL databases and comparing relational databases vs. NoSQL
- Advantages of NoSQL databases in today’s digital economy
- Key factors organizations should be looking for when choosing a NoSQL database

Addressing Modern Digital Economy Needs with NoSQL

EverC provides a complete view of online merchant payment systems, used to detect and prevent fraudulent transactions and money laundering. In this session you’ll learn the different challenges and opportunities EverC faced when creating an 8 billion node graph database on Couchbase Community Edition, and why they decided to upgrade to Enterprise.

The Story of EverC's Multibillion Node Graph Database

Couchbase  initially started small at Paddy Power Betfair, as an alternative to our classic relational databases, but it has grown into a full-blown system that we rely on to deliver great customer experiences. In this webinar we’ll share facts and stats from our daily operations, showing you how we got from problem to solution in a variety of use cases, including: creating activity reports for our operational teams, delivering data when the size reaches millions of records, and operating dual datacenter clusters.

Paddy Power Betfair and the Anatomy of Real-Time Data

In un’epoca in cui il mondo è sempre più connesso, gli utenti richiedono che le applicazioni siano performanti, sempre disponibili e innovative offrendo loro esperienze omnichannel in continua evoluzione.

Per le aziende, questo significa creare applicazioni che si differenziano da quelle tradizionali facendo leva su architetture flessibili e agili per supportare cambiamenti sempre più dinamici e veloci cicli di rilascio tramite DevOps.

Unisciti a Elio Salvatore per conoscere Capella, l'offerta cloud completamente gestita di Couchbase, il database NoSQL più versatile sul mercato. Capella offre alle imprese prestazioni, flessibilità, un’implementazione multi-cloud, ed è costruito sul linguaggio di query più popolare, SQL, in modo da poter essere subito produttivi.

Capella è un'offerta chiavi in mano che integra soluzioni come il caching in memoria, la ricerca full-text e la gestione di carichi di lavoro operazionali e analitici. L'unicità di questa piattaforma porta a implementazioni più semplici, che richiedono una fase di apprendimento più rapida e, soprattutto, permette di innovare più velocemente a un costo controllato.

Couchbase, il DBaaS per sviluppare le tue applicazioni più velocemente

En la era del mundo conectado, los usuarios exigen que las aplicaciones rindan, estén disponibles y sean innovadoras a la hora de servir a sus experiencias omnichannel en constante expansión.

Para las empresas, esto significa crear aplicaciones que se diferencien aprovechando las arquitecturas flexibles y ágiles para apoyar el cambio dinámico y los ciclos acelerados de DevOps.

Acompaña a David Quintas para conocer Capella, la oferta gestionada en la nube de Couchbase, la base de datos NoSQL más versátil del mercado. Capella ofrece a las empresas rendimiento, flexibilidad y despliegues en múltiples nubes, y está construido sobre el lenguaje de consulta más popular, SQL, para una facilidad de uso inmediata.

Capella es una oferta llave en mano de soluciones como la memoria caché distribuida, la búsqueda de texto completo y la gestión de la carga de trabajo relacional y analítica. La singularidad de esta plataforma significa menos aprendizaje, implantaciones más sencillas y, lo que es más importante, una innovación más rápida a un coste controlado.

Couchbase Capella, la DBaaS para desarrollar tus aplicaciones más rápido

À l’ère du tout connecté, les utilisateurs exigent des applications qu’elles soient performantes, disponibles et innovantes pour servir leurs expériences omnicanales toujours plus nombreuses.

Pour les entreprises, cela signifie créer des applications qui se différencient en s’appuyant sur des architectures flexibles et agiles pour supporter les changements dynamiques et les cycles DevOps accélérés.

Rejoignez Stéphane Lang pour découvrir Capella, l’offre cloud managée de Couchbase, la base de données NoSQL la plus polyvalente du marché. Capella offre aux entreprises à la fois performance, flexibilité, déploiements multi-cloud, et s’appuie en outre sur le langage de requêtage le plus populaire qu’est le SQL pour une prise en main immédiate. 

Capella constitue une offre clé-en-main de solutions telles que le cache mémoire distribué, la recherche full-text et la gestion des workloads relationnels et analytiques. L’unicité de cette plateforme signifie moins d'apprentissage, des déploiements plus simples et surtout l’innovation plus rapide à coût maîtrisé.

Couchbase Capella, la DBaaS pour développer vos applications plus vite

Couchbase Cloud™ is our fully managed and hosted Database-as-a-Service. We manage the workload; you get simple access to the Couchbase data platform. In this session, you’ll learn the basics, how to get started, and key tips for your next steps with Couchbase.

Getting Started with Couchbase Cloud

I clienti si rivolgono a Couchbase quando altri database non possono fornire le prestazioni, l'agilità di sviluppo, l'efficacia dei costi e la scalabilità di cui hanno bisogno. La versione  7 aggiunge i punti di forza di un database relazionale a Couchbase, comprese le transazioni SQL, la modellazione dei dati e il primo cost based optimizer del settore per un database JSON.  Guadagna in flessibilità e prestazioni e riduci il tuo TCO migrando il tuo database legacy a Couchbase.  Unisciti a Elio Salvatore, Solutions Engineer di Couchbase, per scoprire come la release  7 sta rivoluzionando il mondo dei database.  Questa nuova release: Espande drasticamente il supporto per le applicazioni transazionali, minimizza la dipendenza dall'RDBMS e riduce i costi, la dispersione dei dati e gli oneri operativi Semplifica le architetture delle applicazioni con nuove strutture di archiviazione dei dati che mappano facilmente gli schemi RDBMS e migliorano la sicurezza, il clustering ad alta disponibilità, lo sharding automatico e la replica Fornisce prestazioni operative più veloci e un TCO inferiore con un nuovo accesso granulare ai dati, partizionamento, indicizzazione e ottimizzazione dei costi.

Couchbase 7.0: la forza del relazionale, la scalabilità del NoSQL

User-defined functions (UDFs) are now generally available in Couchbase Server 7.0. Join this session to learn the benefits of UDFs; the various functions available; the different languages offered; and some tips, tricks, and gotchas when creating, deploying, and managing your own functions.

N1QL User Defined Functions

Couchbase Server 7.0 Analytics developer preview: This session will demonstrate the new capability to use Python user-defined functions (UDFs) from N1QL for analytics. For example, you could now take your trained Python ML models, evaluate them in the context of N1QL for an analytics query, perform advanced analytics, and derive powerful predictive insights. Join this session to see the Python UDFs in action.

Machine Learning Meets NoSQL: Python UDFs

Couchbase

NoSQL

Python

Application Development

Application Management

Enterprise Applications

Analytics

SQL server

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Machine Learning Meets NoSQL: Python UDFs

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