By speeding up data prep, the experts at ElevationData helps keep your data science team moving. Our Data Science Pipeline Services transform data sources into a reliable source of continuous agility at scale – to solve business problems faster.
Harness automation to ensure reliable data flow and drive business agility
Seamlessly expand supply of the datasets you need for more nimble exploration
Optimize scale/spend of the processing power of data science infrastructure
How it works
At ElevationData, we give data science teams the power of elastic compute and storage resources — without the headaches of cloud pipeline operations. We build and run data prep end-to-end, so data scientists and app developers don’t waste time carrying water from the data lake themselves.
It means we take care of custom coding, building workflows, event-driven frameworks, continuous data refinement, and production deployment — so data endpoints are always fresh and available.
Learn more about proven ElevationData solution offerings:
Data Science Automation
Assess data sources and data science roadmap, to calibrate baseline for continuous agile data delivery
Architect and deploy cloud data pipeline infrastructure using key opensource/AWS technologies tailored to iterative data exploration
Orderly knowledge transfer to ensure your data science team’s hands-on mastery of pipeline management and execution
Operationalize configuration and management with Docker/Kubernetes to maximize uptime and scalability, backed by 24/7 support
How We Do It
We have proven expertise building data pipelines with both OpenSource and AWS Native technology stacks.
Making it work, even as the flow of data accelerates, is always a trade-off: it’s a balancing act across time to market, budget constraints, flexibility to move to another cloud provider, and even understanding the flavor of problem-solving styles within an organization.