Veri Platformları & ML Altyapısı — Veriden Değer Üretmenin Yolu
Capivon Data, modern veri mimarileri, ML altyapısı ve analitik çözümlerle verilerinizden maksimum değer çıkarmanızı sağlar. Data lake'lerden feature store'lara, ETL pipeline'larından MLOps'a kadar end-to-end veri platformu.
Production-ready ML sistemleri ve ölçeklenebilir veri mimarileri ile veriye dayalı karar alma süreçlerinizi güçlendiriyoruz.
Data lake, data warehouse ve lakehouse mimarileri. Data mesh implementation, medallion architecture (bronze/silver/gold layers). Real-time ve batch processing altyapısı.
Otomatik veri toplama ve dönüştürme pipeline'ları. Stream processing, data quality validation, schema evolution. Orchestration ve scheduling.
Feature store, model registry, experiment tracking. Model training infrastructure, automated retraining pipelines. Model serving, A/B testing ve monitoring.
Self-service analytics altyapısı, metrics layer oluşturma. Dashboard ve reporting sistemleri. Data catalog ve documentation.
Data lineage tracking, data quality framework, automated testing. Privacy compliance (GDPR, KVKK), data access controls ve audit logging.
Event streaming platforms, real-time processing, CDC (Change Data Capture). Stream-batch unification, low-latency analytics.
Real-time feature engineering, model serving infrastructure, A/B testing framework ile personalized recommendations.
Churn prediction, demand forecasting, anomaly detection için automated ML pipelines ve production deployment.
Çoklu veri kaynaklarından unified customer view, behavioral analytics ve segmentation.
Self-service analytics, automated reporting, real-time dashboards ile data-driven decision making.
Real-time transaction analysis, ML-based anomaly detection, automated alert systems.
Semantic search, vector databases, ranking models ile advanced search capabilities.
Veri kaynaklarından toplama, cleaning, validation ve feature engineering. Data versioning ve reproducibility.
Experiment tracking, hyperparameter tuning, distributed training. Model evaluation ve comparison.
Production deployment, auto-scaling, low-latency serving. Canary releases ve shadow deployments.
Model performance monitoring, data drift detection, automated retraining. Feature store updates ve model versioning.
Recommendation engines, inventory optimization, customer analytics
Fraud detection, risk modeling, customer lifetime value prediction
Product analytics, user behavior modeling, churn prediction
Data warehouse modernization, BI platform upgrade, data governance
Data maturity assessment ve roadmap oluşturma için görüşelim
Ücretsiz Assessment