Streamline your data pipelines to support real-time decision-making capabilities. Deploy best practices across your Big Data stack.
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Prototype Development
An iterative approach through quick proof-of-concepts will help validate your Big Data innovations faster than a waterfall approach.
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Repeatable Deployments
Go from Jupyter Notebooks to Cloud-native containers. Automate the delivery of your pipeline using Continuous Integration/ Continuous Deployment (CI/CD). Prevent drift in your architecture using Infrastructure as Code (IaC) tools like Terraform.
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Observability
Improve your ability to troubleshoot issues, and find performance bottlenecks by adding instrumentation in your ETL process. Roll up the data into dashboards for real-time decision making.
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Data Pipeline Optimization
End-to-End Quality
Professional methods and tools to ensure robustness, dependability, functional safety, cybersecurity and usability:
- Agile process
- CI/CD
- DevOps pipelines
- Secrets management
- Source control management
- Automated testing
- Documentation
- Instrumentation
- Monitoring
Technology Expertise
20+ years of software development and deployment experience with a focus on:
- Python
- Django
- Flask
- Plone
- React
- PostgreSQL
- Redis
- Docker
- Salt
- Terraform
- AWS
- GCP
How to Engage with Us
Project 5
Can we help you?
Vision Builder
Getting on the same page
Strategic Planning
Why? What? How? When? How much?
High Performance Delivery
Rapid Development
Maintenance and Support
Scheduled and unexpected
Skill Up
Training and mentoring
Past Projects
Latest Blog Posts
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