ETL depuis Yotpo vers Amazon Athena en quelques clics
- Concevez des pipelines de données évolutifs et prêts à l’emploi en quelques heures seulement
- Extrayez et chargez des données depuis Yotpo vers Amazon Athena sans code
- Complétez votre pipeline ELT complet avec des transformations SQL ou Pythons
![](https://rivery.io/wp-content/uploads/2021/01/Yotpo.png)
Sélectionnez Amazon Athena comme target et commencez à charger vos données.
Documentation sur la connexionRegardez-le en action
Exploitez vos données Yotpo .Fournissez les données Yotpo 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 Yotpo vers n'importe quel lac de données ou entrepôt de données
FAQ
Rivery offers a set of Predefined Reports for Yotpo for rapid data integration. Using these reports, you can quickly analyze the data without having to learn the intricacies of the way the data is organized within the Yotpo API. Simply provide your Yotpo credentials and choose the report to load into your cloud data warehouse.
The Yotpo data source in Rivery comes with the below predefined reports (click to navigate to the full data structure documentation):
Extracting data from Yotpo is essential for businesses focused on leveraging customer feedback and user-generated content to enhance their brand reputation, improve customer engagement, and drive sales. Yotpo provides valuable insights through customer reviews, ratings, and social proof, which can be analyzed to understand customer sentiment, product performance, and areas for improvement. By analyzing this data, businesses can identify trends in customer satisfaction, address common pain points, and make data-driven decisions to improve products and services.
Additionally, Yotpo data is crucial for optimizing marketing strategies. Positive reviews and testimonials can be used in marketing campaigns to build trust and credibility with potential customers. Businesses can also track the effectiveness of loyalty programs and referral campaigns managed through Yotpo, gaining insights into customer retention and acquisition.
Yotpo updates their API once a month.
The Yotpo core API has two versions, (version 1 and version 3). Version 3 is the more stable version of the core API.
Rivery manages the Yotpo integration for you, so you don’t need to worry about API upgrades breaking your data pipelines. Rivery will continually maintain the integration with the latest API versions. Most upgrades would be seamless requiring no action on your end. If any API version change require your attention — like added, removed, or modified reports/data fields that you may be using — Rivery will notify you ahead of time with the details and any possible actions required.
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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