Swiftask connects your data silos to Big Data Cloud. Your data flows are harmonized, cleaned, and synchronized automatically, without complex infrastructure.
Result:
Eliminate data inconsistencies. Ensure a single source of truth for your entire organization.
AI Agents
big data cloud
Connector big data cloud · Secure OAuth 2.0
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.
Main negative impacts:
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Teams work on partial data, leading to performance gaps and decisions based on outdated information.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.
BEFORE / AFTER
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.
1
STEP 1 : Connect your data sources
Integrate your tools (CRM, ERP, Webhooks) to Swiftask. No complex access is required.
2
STEP 2 : Define transformation rules
The AI agent learns how to harmonize your data before sending it to Big Data Cloud.
3
STEP 3 : Configure Big Data Cloud
Select your Big Data Cloud instance as the final destination for your synchronized flows.
4
STEP 4 : Activate real-time flow
The AI agent automates synchronization 24/7. Monitor data quality on the dashboard.
Our agents analyze the structure and quality of every incoming data point to ensure perfect compatibility with your Big Data Cloud schema.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-big-data-cloud@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Your data is always up to date in Big Data Cloud as soon as it is created in the source.
Eliminate manual maintenance of complex ETL pipelines.
AI detects and corrects anomalies before integration.
Add new data sources in a few clicks without changing your architecture.
Complete flow traceability for your internal audits.
Swiftask applies enterprise-grade security standards for your big data cloud automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| 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) |
Eliminate data inconsistencies. Ensure a single source of truth for your entire organization.