Atlas Data Federation et Online Archive peuvent désormais être déployés dans Azure

Karthic Subramanian and Sabina Friden
February 29, 2024 | Updated: March 18, 2024

Des développements prometteurs se profilent à l'horizon pour les utilisateurs de Microsoft Azure, marquant une avancée significative dans les capacités de gestion des données. Tout d'abord, Atlas Data Federation est désormais disponible sur Azure. Cela signifie que vous pouvez désormais le déployer directement dans Azure et même interroger des données de Microsoft Azure Blob Storage. Et ce n'est pas tout. Nous avons également lancé la disponibilité générale d'Atlas Online Archive sur Azure. Ces avancées s'appuient dans une nouvelle ère de solutions d'archivage efficaces pour les solutions de données basées sur Azure.

Ces deux mises à jour constituent un grand pas en avant pour rendre la gestion des données sur Azure plus puissante et plus flexible. Voyons ce que cela signifie pour vous !

Prise en charge d'Azure dans Atlas Data Federation (disponibilité générale)

Avec Atlas Data Federation, les utilisateurs peuvent interroger, transformer et créer des vues en toute transparence sur plusieurs bases de données Atlas et solutions de stockage d'objets sur le cloud, telles qu'Amazon S3 et maintenant Microsoft Azure Blob Storage. Cette fonctionnalité, auparavant exclusive à AWS, change la donne en permettant un déploiement direct au sein d'Azure et la possibilité de puiser dans Microsoft Azure Blob Storage pour obtenir des informations sur les données.

Figure 1 : accéder facilement à Azure Blob Storage depuis l'interface utilisateur d'Atlas

Principales fonctionnalités d'Atlas Data Federation

  • Flexibilité du cloud : choisissez entre AWS et Azure pour héberger des instances de bases de données fédérées.
  • Diverses sources de données : intégrez des clusters MongoDB Atlas ou des solutions de stockage Azure (Azure Blob Storage et Azure Data Lake Storage Gen2) en tant que sources de données pour des requêtes complètes, y compris interrégionales.
  • Agrégation avancée : capacités d'agrégation complètes avec des opérateurs tels que $match, $lookup, $queryHistory, $merge, $out, etc.
    • Prise en charge directe de $out pour Azure Blob Storage et Azure Data Lake Storage Gen2.
  • Requêtes SQL Atlas sur Azure : exécutez des requêtes SQL sur Azure, en intégrant les données MongoDB pour une expérience d'analyse unifiée.

Atlas Data Federation simplifie l'accès et l'analyse d'ensembles de données complexes en combinant des données provenant de sources multiples en une vue unique et fédérée, ce qui permet d'obtenir des informations précieuses pour prendre des décisions plus éclairées.

Découvrez Atlas Data Federation sur Azure dès aujourd'hui.

Prise en charge d'Azure dans Atlas Online Archive (disponibilité générale)

L'extension d'Atlas Online Archive à Azure garantit que la hiérarchisation des données est non seulement efficace mais aussi intégrée, en conservant les données d'archives au sein de l'écosystème Azure. Cette intégration permet de remédier à la limitation précédente qui consistait à utiliser par défaut AWS pour le stockage, même pour les clusters hébergés sur Azure.

Figure 2 : sélectionner Azure sans problème lors du choix d'une région

Principales fonctionnalités d'Atlas Online Archive

  • Choix du fournisseur : optez pour AWS ou Azure pour vous aligner sur votre stratégie cloud.
  • Archivage automatique : définissez des règles pour transférer automatiquement les données plus anciennes vers un stockage cloud rentable, éliminant ainsi le déchargement manuel.
  • Point de terminaison unifié pour les requêtes : accédez à toutes les données depuis un point de terminaison unique, ce qui vous permet d'obtenir rapidement des informations sans compromettre la disponibilité des données.
  • Gestion intégrée de l'interface MongoDB Atlas : gérez la hiérarchisation et l'archivage de vos données dans l'interface familière d'Atlas, ce qui simplifie les opérations et la maintenance.

Gérez vos données MongoDB Atlas en toute transparence et à grande échelle avec Atlas Online Archive. Atlas Online Archive vous permet de gérer efficacement le cycle de vie de vos données, en équilibrant facilement les coûts et l'accessibilité.

Enfin, voici quelques points à prendre en considération :

  • Toute archive nouvellement créée sur un cluster Azure le ou après le 28 février sera par défaut dans les régions Azure. Notez que les régions de stockage pour Online Archive seront par défaut des clusters Azure seulement s'il n'y a pas d'archives AWS préexistantes sur ce cluster Azure spécifique
  • S'il existe des clusters AWS Online Archives on Azure préexistants, toutes les archives nouvellement créées sur ce cluster spécifique resteront sur AWS.
  • Les fournisseurs cloud ou les régions de stockage ne peuvent pas être édités ou modifiés une fois qu'ils ont été configurés

Exploitez tout le potentiel d'Atlas Online Archive sur Azure dès aujourd'hui.

Nous sommes ravis de vous accompagner dans votre démarche de gestion des données, en vous offrant un meilleur contrôle et une plus grande flexibilité sur vos données grâce à ces nouvelles fonctionnalités Azure. Alors que MongoDB Atlas continue de se développer en tant que solution multi-cloud, nous sommes là pour veiller à ce que votre stratégie de données soit aussi dynamique et polyvalente que les besoins de votre entreprise.

Pour vous aider à vous lancer, consultez notre documentation sur Atlas Data Federation ou Atlas Online Archive.

Nous vous remercions d'avoir choisi MongoDB Atlas comme plateforme de données pour développeurs. Bienvenue dans l'avenir de la gestion des données multicloud !

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Atlas Data Federation e Online Archive possono ora essere distribuiti in Azure

Per gli utenti di Microsoft Azure si prospettano sviluppi entusiasmanti, che segneranno un salto significativo nelle capacità di gestione dei dati. Innanzitutto, Atlas Data Federation è ora disponibile a livello generale in Azure. Ciò significa che ora puoi distribuirlo direttamente all'interno di Azure e persino interrogare i dati da Microsoft Azure Blob Storage. Ma non è tutto: abbiamo anche lanciato la disponibilità generale di Atlas Online Archive su Azure. Questi progressi inaugurano una nuova era di soluzioni di archiviazione efficienti per soluzioni di dati basate su Azure. Entrambi gli aggiornamenti rappresentano grandi passi avanti nel rendere la gestione dei dati su Azure più potente e flessibile. Capiamo più da vicino ciò che questo significa per te! Supporto tecnico di Azure in Atlas Data Federation (disponibilità generale) Con Atlas Data Federation, gli utenti possono eseguire query, trasformare e creare visualizzazioni su più database Atlas e soluzioni di archiviazione di oggetti cloud, come Amazon S3 e ora Microsoft Azure Blob Storage. Questa funzionalità, precedentemente esclusiva di AWS, rappresenta una vera e propria svolta in quanto consente la distribuzione diretta in Azure e la possibilità di attingere all'archiviazione BLOB di Microsoft Azure per ottenere informazioni dettagliate sui dati. Figura 1: Accedi facilmente ad Azure Blob Storage dall'interfaccia utente di Atlas Caratteristiche principali di Atlas Data Federation Flessibilità cloud: scegli tra AWS e Azure per ospitare istanze di database federate. Fonti di dati diversificate: incorpora i cluster MongoDB Atlas o le soluzioni di archiviazione di Azure (Azure Blob Storage e Azure Data Lake Storage Gen2) come origini dati per query complete, anche interregionali. Aggregazione avanzata: funzionalità di aggregazione complete con operatori comprensivi di $match, $lookup, $queryHistory, $merge, $out ecc. Supporto diretto $out per Azure Blob Storage e Azure Data Lake Storage Gen2. Query SQL di Atlas su Azure: esegui query SQL su Azure, integrando i dati MongoDB per un'esperienza di analisi unificata. Atlas Data Federation semplifica l'accesso e l'analisi di set di dati complessi combinando dati su più fonti in un'unica vista federata, fornendo preziose informazioni per decisioni aziendali più informate. Esplora subito Atlas Data Federation in Azure . Assistenza Azure su Atlas Online Archive (disponibilità generale) L'espansione di Atlas Online Archive su Azure garantisce che il tiering dei dati non sia solo efficiente ma anche integrato, mantenendo i dati di archivio all'interno dell'ecosistema Azure. Questa integrazione risolve la precedente limitazione dell'impostazione predefinita di AWS per lo storage, anche per i cluster ospitati in Azure. Figura 2: selezionare facilmente Azure quando si sceglie una regione Funzionalità principali dell'archivio online di Atlas Scelta del provider: scegli AWS o Azure per allinearti alla tua strategia cloud. Archiviazione automatica: imposta regole per spostare automaticamente i dati più vecchi in uno storage cloud conveniente, eliminando l'offload manuale. Endpoint di query unificato: accedi a tutti i dati tramite un unico endpoint per garantire insight rapidi senza compromettere la disponibilità dei dati. Gestione integrata dell'IU MongoDB Atlas: gestisci il tiering e l'archiviazione dei dati all'interno della consueta interfaccia Atlas, semplificando le operazioni e la manutenzione. Gestisci senza problemi il tiering dei dati MongoDB Atlas su larga scala con Atlas Online Archive, che consente di gestire il ciclo di vita dei dati in modo efficiente, bilanciando i costi e l'accessibilità con facilità. Infine, ecco alcuni punti da considerare: Qualsiasi archivio appena creato in un cluster di Azure a partire dal 28/02 verrà impostato per impostazione predefinita sulle regioni di Azure. Tieni presente che le regioni di storage per l'archivio online verranno impostate automaticamente sui cluster di Azure solo se non sono presenti archivi AWS preesistenti su quello specifico cluster di Azure Se sono presenti archivi AWS Online preesistenti su cluster di Azure, tutti gli archivi appena creati su quel cluster specifico rimarranno su AWS I provider di cloud o le regioni di archiviazione non possono essere modificati una volta configurati Sfrutta subito tutto il potenziale di Atlas Online Archive in Azure . Siamo entusiasti di supportare il tuo percorso di gestione dei dati, offrendo maggiore controllo e flessibilità sui tuoi dati attraverso queste nuove funzionalità di Azure. Con l'espansione di MongoDB Atlas come soluzione multi-cloud, siamo qui per garantire che la tua strategia dati sia dinamica e versatile quanto le esigenze della tua azienda. Per istruzioni su come iniziare, consulta la nostra documentazione su Atlas Data Federation o Atlas Online Archive . Grazie per aver scelto MongoDB Atlas come piattaforma dati per sviluppatori. Benvenuti nel futuro della gestione dei dati multi-cloud!

February 29, 2024
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The Converged AI and Application Datastore for Insurance

In the inherently information-driven insurance industry, companies ingest, analyze, and process massive amounts of data, requiring extensive decision-making. To manage this, they rely on a myriad of technologies and IT support staff to keep operations running smoothly but often lack effectiveness due to their outdated nature. Artificial intelligence (AI) holds great promise for insurers by streamlining processes, enhancing decision-making, and improving customer experiences with significantly less time, resources, and staff compared with traditional IT systems. The convergence of AI and innovative application datastores is transforming how insurers work with data. In this post, we’ll look at how these elements are reshaping the insurance industry and offering greater potential for AI-powered applications, with MongoDB at the heart of the converged AI and application datastore. Scenario planning and flexible data layers One of the primary concerns for IT leaders and decision-makers in the insurance industry is making smart technology investments. The goal is to consolidate existing technology portfolios, which often include a variety of systems like SQL Server, Oracle, and IBM IMS. Consolidation helps reduce inventory and prepare for the future. But what does future-proofing really look like? Scenario planning is an effective strategy for future-proofing. This involves imagining different plausible futures and investing in the common elements that remain beneficial across all scenarios. For insurance companies, a crucial common thread is the data layer. By making data easier to work with, companies can ensure that their technology investments remain valuable regardless of how future scenarios unfold. MongoDB’s flexible developer data platform offers a distinct architectural advantage by making data easier to work with, regardless of the cloud vendor or AI application in use. This flexibility is vital for preparing for disruptive future scenarios, whether they involve regulatory changes, market shifts, or technological advancements. Watch now: The Converged AI and Application Datastore: How API's, AI & Data are Reshaping Insurance The role of AI and data in insurance Generative AI is revolutionizing the insurance sector, offering new ways to manage and utilize data. According to Celent's 2023 Technology Insight and Strategy Survey, 33% of companies across different industries have AI projects in planning, 29% in development, and 19% in production (shown in Figure 1 below). This indicates a significant shift towards AI-driven solutions by insurers actively experimenting with gen AI. Figure 1: Celent Technology Insight and Strategy Survey 2023 However, there's tension between maintaining existing enterprise systems and innovating with AI. Insurance companies must balance keeping the lights on with investing in AI to meet the expectations of boards and stakeholders. The solution lies in integrating AI in a way that enhances operational efficiency without overwhelming existing systems. However, data challenges need to be addressed to achieve this, specifically around access to data. According to a Workday Global Survey , only 4% of respondents said their data is fully accessible, and 59% say their enterprise data is somewhat or completely siloed. Without a solid data foundation, insurers will struggle to achieve the benefits they are looking for from AI. Data architectures and unstructured data When adopting advanced technologies like AI and ML, which require data as the foundation, organizations often grapple with the challenge of integrating these innovations into legacy systems due to their inflexibility and resistance to modification. A robust data architecture is essential for future-proofing and consolidating technology investments. Insurance companies often deal with a vast amount of unstructured data, such as claim images and videos, which can be challenging to manage. By leveraging AI, specifically through vector search and large language models, companies can efficiently process and analyze this data. MongoDB is ideal for managing unstructured data due to its flexible, JSON-like document model, which accommodates a wide variety of data types and structures without requiring a predefined schema. Additionally, MongoDB’s flexibility enables insurers to integrate seamlessly with various technologies, making it a versatile and powerful solution for unstructured data management. For example, consider an insurance adjuster assessing damage from claim photos. Traditionally, this would require manually reviewing each image. With AI, the photos can be converted into vector embeddings and matched against a database of similar claims, drastically speeding up the process. This not only improves efficiency but also enhances the accuracy of assessments. The converged AI and application datastore with MongoDB Building a single view of data across various systems is a game-changer for the insurance industry. Data warehouses and data lakes have long provided single views of customer and claim data, but they often rely on historical data, which may be outdated. The next step is integrating real-time data with these views to make them more dynamic and actionable. 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By making smart technology investments, leveraging AI to manage unstructured data, and building robust data architectures, insurance companies can future-proof their operations and embrace innovation. A versatile and flexible data platform provides the foundation for these advancements, enabling companies to make their data more accessible, actionable, and valuable. The MongoDB Atlas developer data platform puts powerful AI and analytics capabilities directly in the hands of developers and offers the capabilities to enrich applications by consolidating, ingesting, and acting on any data type instantly. Because MongoDB serves as the operational data store (ODS)—with its flexible document model—insurers can efficiently handle large volumes of data in real-time. By integrating MongoDB with AI/ML platforms, insurers can develop models trained on the most accurate and up-to-date data, thereby addressing the critical need for adaptability and agility in the face of evolving technologies. 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July 18, 2024