Managed ETL Services
Comprehensive data pipeline management with pre-built templates, scheduled execution, and expert support for all your data transformation needs.
ETL Pipeline Management
Our Managed ETL Services provide a complete solution for extracting, transforming, and loading data across your enterprise. By combining pre-built pipeline templates with expert engineering support, we enable you to implement sophisticated data workflows with minimal development effort.
Our ETL services are fully integrated with the NebulaLake platform, providing seamless data flow from source systems through transformation to your data lake and analytical applications.
Pre-configured Pipeline Templates
Our extensive library of production-ready pipeline templates covers common data transformation scenarios across industries and data types. Each template includes parameterized workflows, validation rules, error handling, and performance optimizations.
Data Integration
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Incremental Database Sync
Efficiently capture and process changes from relational databases with CDC support for Oracle, SQL Server, MySQL, PostgreSQL, and more. Includes delta detection, schema evolution handling, and conflict resolution.
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API Data Harvester
Collect data from REST and SOAP APIs with configurable authentication, pagination handling, rate limiting, and retry logic. Supports JSON, XML, and custom response formats with automatic schema inference.
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File Ingestion Framework
Process structured and semi-structured files from FTP, SFTP, S3, and local file systems. Handles CSV, JSON, XML, Parquet, Avro, and custom formats with schema validation and error handling.
Data Transformation
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Customer 360 Builder
Create unified customer profiles by integrating data from multiple systems. Includes entity resolution, householding, address standardization, and hierarchical relationship mapping with configurable matching rules.
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Time Series Processor
Process and analyze time series data with configurable windowing, aggregations, interpolation, and anomaly detection. Optimized for sensor data, financial tickers, and other high-frequency sequential data.
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Data Quality Framework
Comprehensive data quality processing with 50+ built-in validation rules, profiling metrics, cleansing operations, and standardization functions. Includes detailed quality reporting and remediation workflows.
Industry-Specific
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Retail Analytics Processor
Transform point-of-sale, inventory, and customer data into retail analytics models. Includes basket analysis, inventory optimization, customer segmentation, and sales forecasting components.
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Financial Data Normalizer
Process and standardize financial data from multiple sources. Includes currency conversion, accounting period alignment, GL code mapping, and regulatory reporting transformations.
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Healthcare Data Integrator
Process and integrate healthcare data with support for HL7, FHIR, X12, and other healthcare standards. Includes patient matching, clinical terminology mapping, and HIPAA compliance features.
Scheduled Pipeline Execution
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║ PIPELINE SCHEDULING STATUS ║
╠═════════════════════════════════════════════════════╣
║ ║
║ PIPELINE SCHEDULE LAST RUN ║
║ ───────────────────────────────────────────────── ║
║ customer_data_sync */15 * * * * SUCCESS ║
║ sales_aggregation 0 */1 * * * SUCCESS ║
║ inventory_refresh 0 0 * * * SUCCESS ║
║ clickstream_process */5 * * * * RUNNING ║
║ financial_daily_close 0 20 * * 1-5 PENDING ║
║ ║
║ RESOURCE UTILIZATION: 37% ███████░░░░░░░░░░░░░ ║
║ PRIORITY QUEUE: 0 jobs waiting ║
║ ACTIVE WORKERS: 12/20 ║
║ ║
╚═════════════════════════════════════════════════════╝
Flexible Execution Scheduling
Our scheduling system provides comprehensive control over when and how your data pipelines execute, ensuring data is processed at the right time with the right resources.
Advanced Scheduling Options
- Cron-based scheduling: Standard cron expressions for time-based execution
- Event-based triggers: Execute pipelines in response to data arrival, API calls, or system events
- Dependency chains: Define execution order and dependencies between pipelines
- Conditional execution: Run pipelines based on data conditions or business rules
Execution Management
- Parallel execution: Configurable concurrency with intelligent resource allocation
- Priority queuing: Ensure critical workflows execute first during peak loads
- Catchup processing: Automatic handling of backfill scenarios for missed executions
- Throttling controls: Manage pipeline execution rates to optimize resource usage
Reliability Features
- Automatic retries: Configurable retry policies with exponential backoff
- Failure isolation: Prevent cascading failures across dependent pipelines
- SLA monitoring: Alert on execution delays or runtime violations
- Execution guarantees: At-least-once or exactly-once semantics as required
Our scheduling system maintains execution history with detailed logs and metrics, enabling comprehensive auditing and performance analysis of your data pipelines over time.
Data Engineering Support
Expert Assistance for Your Data Pipelines
Our data engineering team provides comprehensive support for designing, implementing, and optimizing your data pipelines. We work as an extension of your team to ensure your data transformation needs are met with maximum efficiency and reliability.
Pipeline Design & Architecture
- Data flow design and optimization consulting
- Schema design and evolution planning
- Performance and scalability architecture
- Data quality and governance integration
Custom Pipeline Development
- Custom transformation logic implementation
- Complex business rule encoding
- Integration with proprietary systems
- Advanced analytics and ML pipeline development
Performance Optimization
- Pipeline profiling and bottleneck identification
- Query and transformation optimization
- Resource allocation tuning
- Incremental processing implementation
Knowledge Transfer & Training
- Customized team training sessions
- Best practice documentation
- Hands-on workshops and pair programming
- Pipeline implementation playbooks
Support Tiers:
- Standard Support: Included with all managed ETL services, provides 8x5 assistance with 4-hour response time.
- Premium Support: 24x7 coverage with 1-hour response time and dedicated support engineers.
- Enterprise Support: 24x7 coverage with 15-minute response time, dedicated team, and quarterly architecture reviews.
Pipeline Onboarding Process
Requirements Analysis
Our data engineers work with your team to understand your data sources, transformation requirements, and target data models. We document the pipeline specifications, data quality rules, and performance expectations.
Duration: 1-3 days
Template Selection & Customization
We identify the most appropriate pipeline templates from our library and customize them to your specific requirements. This includes configuring source connections, transformation logic, validation rules, and scheduling parameters.
Duration: 2-5 days
Development & Testing
Our team implements the customized pipelines in a development environment, performing unit testing and integration testing with your data. We validate data quality, transformation accuracy, and performance metrics against requirements.
Duration: 3-10 days
Deployment & Validation
We deploy the pipelines to production, configure monitoring and alerting, and conduct end-to-end validation with production data volumes. This includes performance testing and verification of integration with downstream systems.
Duration: 1-3 days
Handover & Documentation
We provide comprehensive documentation for each pipeline, including architecture diagrams, configuration details, and operational procedures. We conduct knowledge transfer sessions with your team to ensure a smooth transition.
Duration: 1-2 days
Note: The typical end-to-end onboarding process for a set of 5-10 pipelines takes 2-4 weeks, depending on complexity and customization requirements. Our agile approach allows for incremental delivery and early validation of critical pipelines.
Pipeline Execution SLAs
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║ SLA PERFORMANCE METRICS ║
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║ ║
║ AVAILABILITY CURRENT TARGET ║
║ ──────────────────────────────────────────── ║
║ Pipeline Platform 99.98% 99.9% ║
║ Scheduled Executions 99.95% 99.9% ║
║ API Responsiveness 99.99% 99.9% ║
║ ║
║ PERFORMANCE CURRENT TARGET ║
║ ──────────────────────────────────────────── ║
║ Avg. Pipeline Latency 87ms <500ms ║
║ Processing Throughput 4.7GB/s >1GB/s ║
║ Scaling Response Time 28s <60s ║
║ ║
║ RELIABILITY CURRENT TARGET ║
║ ──────────────────────────────────────────── ║
║ Execution Success Rate 99.97% >99.5% ║
║ Data Quality Pass Rate 99.82% >99.5% ║
║ Recovery Time (MTTR) 4.3min <15min ║
║ ║
╚════════════════════════════════════════════════╝
Service Level Agreements
Our Managed ETL Services are backed by robust Service Level Agreements that ensure reliable, timely, and accurate data processing. We maintain comprehensive monitoring and proactive management to meet or exceed these commitments.
Platform Availability
- 99.9% platform availability for pipeline management and execution
- Measured across all components including scheduling, execution, and monitoring
- Excludes planned maintenance windows (communicated 7 days in advance)
- Includes high availability architecture with automated failover
Pipeline Execution
- 99.5% successful execution rate for scheduled pipelines
- Measured as the percentage of pipeline runs completing without system-related failures
- Excludes failures due to data quality issues or source system unavailability
- Includes automatic retry mechanism for transient failures
Support Response
- Standard Support: 4-hour response time, 8x5 coverage
- Premium Support: 1-hour response time, 24x7 coverage
- Enterprise Support: 15-minute response time, 24x7 coverage with dedicated support team
- Severity-based escalation with defined resolution timeframes
Performance
- Resource scaling within 60 seconds of demand changes
- API response time under 500ms for 95% of requests
- Pipeline-specific performance metrics defined during onboarding
- Quarterly performance reviews and optimization recommendations
Our SLA performance is continuously monitored and reported through a real-time dashboard accessible to all customers. We maintain a 12-month history of SLA metrics for trend analysis and continuous improvement.
Ready to Streamline Your Data Pipelines?
Contact us today to discuss how our Managed ETL Services can accelerate your data transformation initiatives and reduce the complexity of your data engineering operations.