DATA & AI
Data Analytics
Bridging the gap between development & analytics
Traditionally, analytics teams transformed data into centralized dashboards, but as data sources and business questions grow, this strains resources. Modern decision-makers must efficiently merge and analyze data from diverse systems to uncover insights and guide business strategies. A shared ownership approach integrates development and analytics early in projects to ensure data is analyzable from the start. We transform data challenges into business assets, helping organizations stay competitive.
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Source Allies Data Engineers are about data quality, accurate insights, data-driven decisions, and providing expert level knowledge when it comes to data engineering and data science practices.
Our Work
Data Pipelines Can Be Simple
The established pipeline from harvest data ingest to end-user data visualization had taken years to assemble, involved highly complex transforms & hand-offs...
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Grocery API
Our customer, a $10B Midwest grocery retailer, has multiple RESTful microservices providing the same or highly overlapping functionality. It was difficult for...
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SageMaker Canvas And AutoPilot Tour
ML adoption in the midwest is not as prominent as it is in tech hubs in the US. Our goal was to...
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Introducing Glue Biscuit: A reference guide and library for building production quality AWS Glue jobs
Introducing a reference guide and library for working with AWS Glue....
Resources for Data Exploration
As our world continues to become more data-focused, more and more datasets are at our disposal to analyze. This provides a lot of...
Glue ETL Development with Dev Endpoint Notebooks
In this post we will go through a simple tutorial for using Dev Endpoints and notebooks for Glue ETL development...