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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.

Resultat:

Turn slow queries into lightning-fast executions. Maximize your cloud ROI.

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.

Les principaux impacts négatifs :

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.

AVANT / APRÈS

Ce qui change avec 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

ÉTAPE 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.

ÉTAPE 2 : Define your optimization agent

Create an agent dedicated to SQL performance analysis. No code needed to set it up.

ÉTAPE 3 : Submit queries for analysis

Copy your query or connect your logs. The AI immediately identifies areas for improvement.

ÉTAPE 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.

Connecteur cible : L'agent exécute les bonnes actions dans big data cloud selon le contexte de l'événement.
Actions automatisées : SQL query rewriting. Automatic indexing suggestions. Detection of unnecessary full table scans. Performance gain estimation before execution.
Gouvernance native : All optimizations are tracked in Swiftask to ensure full compliance and a history of changes.

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 Big Data Cloud

1. Drastic cloud cost reduction

Less compute time means a reduced cloud bill and better budget allocation.

2. 10x faster analytics

Access your reports and dashboards much faster thanks to optimized queries.

3. Data democratization

Your business teams can run complex queries without being SQL optimization experts.

4. Security and privacy

Swiftask acts as an intelligent assistant without storing your raw data.

5. Continuous improvement

The agent learns from your query patterns to become more effective over time.

Security and compliance

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

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.

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 stack

Métrique	Avant	Après
Execution time	Several minutes	A few seconds
Compute costs	Standard	-40% on average
Syntax/perf errors	Frequent	Near zero
Debug time	Hours	Minutes

Passez à l'action avec big data cloud

Turn slow queries into lightning-fast executions. Maximize your cloud ROI.

Générez vos rapports Big Data Cloud automatiquement grâce à l'IA

Cas d'usage suivant.