ETL depuis Webhook vers Azure Blob Storage en quelques clics
- Concevez des pipelines de données évolutifs et prêts à l’emploi en quelques heures seulement
- Extrayez et chargez des données depuis Webhook vers Azure Blob Storage sans code
- Complétez votre pipeline ELT complet avec des transformations SQL ou Pythons
![](https://rivery.io/wp-content/uploads/2021/01/Webhooks.png)
Sélectionnez Azure Blob Storage comme target et commencez à charger vos données.
Documentation sur la connexionRegardez-le en action
Exploitez vos données Webhook .Fournissez les données Webhook au bon moment, aux bonnes personnes. Icône
Transformez vos données
Transformez les données brutes en analyses commerciales avec SQL ou Python.
Activez vos données
Synchronisez directement les données dans votre data stack avec le reverse ETL.
Tout ce dont vous avez besoin pour simplifier l'intégration avancée des données
Aucune Infrastructure à Gérer
Modélisation SQL/Python Gérée
Tarification Prévisible Basée sur la Valeur
Réduction des Pertes de Développement de Données
Intégration de Données Sans Code
Réplication Efficace de Base de Données
Scalabilité Illimitée
Activation Intégrée des Données
Résolution Proactive des Problèmes Techniques
Rassemblez toutes vos données. Intégrez des données depuis n'importe quelle source.
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Greg Robinson
Staff Data Scientist
Chargez des données de Webhook vers n'importe quel lac de données ou entrepôt de données
FAQ
In order to receive data in real-time, a traditional API must poll for data constantly. Webhooks, on the other hand, enable applications to provide real-time data to other applications based on triggered events.
When an event occurs in an app – such as registering an account or purchasing an item – a webhook can immediately push this data to other apps via HTTP callbacks. This allows teams, applications, data models, and other parties to react to these events in real-time.
In Rivery, webhooks operate like any other data source. To facilitate webhooks, Rivery provides an endpoint that streams webhooks data. Customers utilize this endpoint by sending HTTP requests to it via the POST method.
While setting up a webhook data source, all Rivery customers need to do is provide example JSON mapping for the data. Auto-mapping will take care of the rest.
Once a webhook data source is activated, Rivery sends webhook events directly to a customer’s cloud data warehouse as they happen. Customers can push events one by one, or transfer records in bulk by sending an array.
The granular detail of webhook events, coupled with the instant accessibility, enables teams and data operations to react in real-time with the best possible data. Customers can also use this granularity to develop more powerful data models.
With Rivery Webhooks, customers can combine events data with other data sources inside a cloud data warehouse to generate unique insights.
Additionally, the feature serves as a comprehensive archive for all events that occur within an app. This is especially important for webhooks that do not permanently store events.
In Rivery, e-commerce customers can configure a Shopify webhook to execute a process after a specific event.
For example, when an order is placed, the webhook can trigger an email send to the buyer featuring product documentation or related items. Receiving automated updates from webhooks allows e-commerce companies to react to, and interact with, buyers in real-time.
Utiliser les connecteurs de données de Rivery est très simple. Il suffit d’entrer vos identifiants, de définir la cible où vous souhaitez charger les données (par exemple, Snowflake, BigQuery, Databricks ou tout data lake) et de mapper automatiquement le schéma pour le générer sur la cible. Vous pouvez contrôler les données que vous avez besoin d’extraire de la source et la fréquence de synchronisation de vos données. Pour en savoir plus, suivez la documentation spécifique.
Oui. Tous les connecteurs de données au sein de Rivery sont conformes aux normes de sécurité et de confidentialité les plus élevées, y compris : RGPD, HIPAA, SOC2 et ISO 27001. De plus, lorsque les données sont transférées vers votre entrepôt de données cible, vous pouvez configurer le transfert via votre propre système de fichiers cloud plutôt que via Rivery.
Les connecteurs de données les plus populaires concernent des cas d’usage comme le marketing, les ventes et la finance. Ils incluent Salesforce, HubSpot, Google Analytics, Google Ads, LinkedIn Ads, Facebook Ads, TikTok et plus encore.
Rivery prend en charge la réplication de base de données CDC et l’extraction SQL standard, vous pouvez donc choisir la méthode qui vous convient le mieux. En savoir plus ici.
Boostez votre intégration de données
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