Optimize your Big Data Cloud queries instantly with AI
Swiftask connects your AI agents to Big Data Cloud to analyze and rewrite your most complex queries. Gain performance and reduce compute costs.
Result:
Turn slow queries into lightning-fast executions. Maximize your cloud ROI.
AI Agents
big data cloud
Connector big data cloud · Secure OAuth 2.0
Inefficient queries slowing down your analytics
Working with massive data volumes in Big Data Cloud presents a constant challenge: poorly optimized queries consume unnecessary, expensive resources and slow down decision-making.
Main negative impacts:
Exploding compute costs
An unoptimized query can multiply resource consumption, directly impacting your monthly cloud bill.
Decision latency
Long execution times prevent real-time insight access, slowing down your entire data value chain.
Technical complexity
Manual optimization requires advanced data engineering skills, often unavailable within business teams.
Swiftask deploys specialized AI agents that scan your Big Data Cloud queries, identify bottlenecks, and propose ready-to-run optimized versions.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
A data analyst submits a complex query. It runs for hours, consumes significant cloud credits, and eventually fails or returns partial data. The analyst must iterate manually, wasting precious time.
With Swiftask + Big Data Cloud
The AI agent analyzes the query structure before execution. It suggests indexing, simplifies joins, and optimizes clauses. The query runs in seconds, reducing resource consumption by up to 10x.
Optimize your queries in 4 simple steps
1
STEP 1 : Connect Big Data Cloud to Swiftask
Configure your secure access in Swiftask. Your data remains in your environment; only the execution plan is analyzed by the AI.
2
STEP 2 : Define your optimization agent
Create an agent dedicated to SQL performance analysis. No code needed to set it up.
3
STEP 3 : Submit queries for analysis
Copy your query or connect your logs. The AI immediately identifies areas for improvement.
4
STEP 4 : Apply recommendations
Validate the suggested optimizations. The agent can automatically apply changes or provide the optimized script.
Advanced features for Big Data Cloud
The AI analyzes the execution plan, column cardinality, complex joins, and past performance history.
- Target connector: The agent performs the right actions in big data cloud based on event context.
- Automated actions: SQL query rewriting. Automatic indexing suggestions. Detection of unnecessary full table scans. Performance gain estimation before execution.
- Native governance: All optimizations are tracked in Swiftask to ensure full compliance and a history of changes.
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.
Why choose Swiftask for Big Data Cloud
Drastic cloud cost reduction
Less compute time means a reduced cloud bill and better budget allocation.
10x faster analytics
Access your reports and dashboards much faster thanks to optimized queries.
Data democratization
Your business teams can run complex queries without being SQL optimization experts.
Security and privacy
Swiftask acts as an intelligent assistant without storing your raw data.
Continuous improvement
The agent learns from your query patterns to become more effective over time.
Security and compliance
Swiftask applies enterprise-grade security standards for your big data cloud automations.
- Encrypted connection: All communications with your Big Data Cloud instance are encrypted.
- Granular access control: Manage exactly who can use the optimization agent via your Swiftask console.
- Full audit trail: Every optimized query and change is logged in an audit trail.
- Data isolation: Your data remains isolated within your cloud environment.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your data stack
| Metric | Before | After |
|---|---|---|
| Execution time | Several minutes | A few seconds |
| Compute costs | Standard | -40% on average |
| Syntax/perf errors | Frequent | Near zero |
| Debug time | Hours | Minutes |
Take action with big data cloud
Turn slow queries into lightning-fast executions. Maximize your cloud ROI.