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™
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Research & Strategic Insights
How will you reach your goals?
Technical Planning
What will the SOW and budget be?
Collaborative Development
How will we Make Anything Possible™?
Deployment Automation
How will you ace all deployments?
Proactive Support
How will you sleep at night?
Past Projects
Latest Blog Posts
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