Tarification

Synchronize multi-source data to Big Data Cloud with AI

Swiftask connects your data silos to Big Data Cloud. Your data flows are harmonized, cleaned, and synchronized automatically, without complex infrastructure.

Resultat:

Eliminate data inconsistencies. Ensure a single source of truth for your entire organization.

Data fragmentation slows down your decision-making

Your data is scattered across dozens of tools, databases, and SaaS platforms. Manual synchronization to Big Data Cloud is slow, error-prone, and resource-heavy for IT teams.

Les principaux impacts négatifs :

Inaccessible data silos: Teams work on partial data, leading to performance gaps and decisions based on outdated information.
Complex pipeline maintenance: Maintaining custom connectors requires constant development time, preventing IT teams from focusing on innovation.
Unstable data quality: Without intelligent automation, cleaning and normalizing data before integration into Big Data Cloud is nearly impossible at scale.

Swiftask deploys AI agents capable of extracting, transforming, and synchronizing your multi-source data to Big Data Cloud in real-time, ensuring complete consistency.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

Teams spend hours exporting CSVs, mapping fields manually, and managing import scripts. Formatting errors corrupt your Big Data Cloud, requiring daily manual corrections.

With Swiftask + Big Data Cloud

Your AI agents automatically detect changes in your sources. They clean, normalize, and synchronize data to Big Data Cloud instantly. Your warehouse is always up to date.

Configure your AI data pipeline in 4 steps

ÉTAPE 1 : Connect your data sources

Integrate your tools (CRM, ERP, Webhooks) to Swiftask. No complex access is required.

ÉTAPE 2 : Define transformation rules

The AI agent learns how to harmonize your data before sending it to Big Data Cloud.

ÉTAPE 3 : Configure Big Data Cloud

Select your Big Data Cloud instance as the final destination for your synchronized flows.

ÉTAPE 4 : Activate real-time flow

The AI agent automates synchronization 24/7. Monitor data quality on the dashboard.

AI capabilities for your Big Data

Our agents analyze the structure and quality of every incoming data point to ensure perfect compatibility with your Big Data Cloud schema.

Connecteur cible : L'agent exécute les bonnes actions dans big data cloud selon le contexte de l'événement.
Actions automatisées : Automatic duplicate cleaning. Normalization of date and currency formats. AI-powered data enrichment. Intelligent routing based on source. Full audit logs for every transfer.
Gouvernance native : Security is native: your data is encrypted throughout the entire synchronization process.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-big-data-cloud@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Why choose Swiftask for your Big Data

1. Guaranteed real-time

Your data is always up to date in Big Data Cloud as soon as it is created in the source.

2. Drastic IT cost reduction

Eliminate manual maintenance of complex ETL pipelines.

3. Superior data quality

AI detects and corrects anomalies before integration.

4. Unlimited scalability

Add new data sources in a few clicks without changing your architecture.

5. Full compliance

Complete flow traceability for your internal audits.

Bank-grade security

Swiftask applique des standards de sécurité enterprise pour vos automatisations big data cloud.

End-to-end encryption: Your data is protected in transit and at rest.
Fine-grained access control: Precisely control which data is synchronized.
GDPR/SOC2 Compliance: Architecture designed to meet the strictest standards.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measurable impact on your data

Métrique	Avant	Après
Synchronization time	Several hours (batch)	Milliseconds (real-time)
Maintenance cost	High (dedicated developers)	Low (no-code solution)
Error rate	15-20% due to manual entry	Close to 0% (automation)

Passez à l'action avec big data cloud

Eliminate data inconsistencies. Ensure a single source of truth for your entire organization.

Optimisez vos requêtes Big Data Cloud instantanément avec l'IA

Cas d'usage suivant.