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Big Data Project Delivery
We build data lakes, warehouses, ELT pipelines, batch processing jobs, validation layers, and analytics-ready models.
- Architecture and implementation
- Data quality and governance
- Cloud or on-prem deployment
Big Data Engineering Studio
Modern data platforms, built for launch.
We design and deliver big data projects, production pipelines, real-time streaming, analytics dashboards, AI-ready data layers, and OpenClaw setup for teams that need reliable systems instead of scattered scripts.
Apache Airflow 3.0
Apache Kafka 4.0
OpenClaw Setup
Data Lakes
Dashboards
$ ltlab init big-data-platform
✓ Kafka 4.0 event streams configured
✓ Airflow 3.0 orchestration deployed
✓ OpenClaw environment setup completed
✓ BI dashboards connected to trusted data marts
24/7Data workflows
4.0Kafka baseline
3.0Airflow baseline
What We Offer
End-to-end delivery for serious data products.
From first architecture sketch to production handover, LTLab helps you build the data foundation your product, research, reporting, and AI teams can trust.
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Real-Time Streaming Systems
Launch event-driven systems using Apache Kafka 4.0 for logs, payments, IoT, product events, and operational alerts.
- Topic and schema design
- Producers and consumers
- Monitoring and replay strategy
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Workflow Orchestration
Coordinate reliable batch and hybrid workflows with Apache Airflow 3.0, scheduling, retries, alerts, and clean deployment patterns.
- DAG design and refactoring
- CI/CD for data pipelines
- Observability and alerting
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OpenClaw Setup
We set up, configure, document, and hand over OpenClaw environments so your team can move quickly with a repeatable foundation.
- Environment preparation
- Configuration and integrations
- Team onboarding guide
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AI-Ready Data Layers
Prepare clean, searchable, governed datasets for recommendation systems, assistants, RAG workflows, forecasting, and ML experiments.
- Feature and document pipelines
- Vector-ready data preparation
- Evaluation datasets
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Dashboards & Insights
Turn complex data into executive dashboards, operations views, and self-service reporting that teams actually use.
- KPI mapping
- BI and semantic models
- Automated reporting
How We Work
A practical path from idea to production.
We keep delivery focused: understand the business problem, design the correct data architecture, build in measurable milestones, then train your team to operate it confidently.
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DiscoverMap goals, source systems, risks, users, and success metrics.
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ArchitectChoose the right storage, streaming, orchestration, governance, and deployment approach.
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BuildImplement pipelines, dashboards, automations, tests, and documentation.
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HandoverProvide runbooks, training, monitoring, and support for the first production cycles.
IngestAPIs, files, databases, webhooks, event streams, and third-party systems.
ProcessBatch and stream processing with quality checks, transformations, and retries.
StoreLakehouse, warehouse, marts, feature stores, and searchable document stores.
ActivateDashboards, alerts, AI workflows, reports, automations, and customer products.
Project Examples
Build the data system your organization has been postponing.
Whether you are starting from spreadsheets or scaling an existing platform, we can scope and deliver practical big data work in phases.
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Finance & Payments Analytics
Unify transaction events, reconciliation records, customer data, and operational dashboards for faster decisions.
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E-Commerce Data Platform
Track product events, orders, inventory, marketing attribution, customer retention, and live performance metrics.
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Education & Research Pipelines
Collect learning, admissions, assessment, and research data into repeatable pipelines with clean reporting outputs.
Start Here
Tell us the data project you want to launch.
Need a big data platform, Kafka stream, Airflow pipeline, dashboard, AI data layer, or OpenClaw setup? Send us the goal, current tools, data sources, and deadline. We will help you shape a delivery plan.