Infostrux builds, integrates, and manages automated data pipelines for delivering certified and updated data sets from a variety of organizational data sources into a unified data cloud solution running on Snowflake’s platform.
How We Do It
At Infostrux, we come to data from the bottom up. We like solving the plumbing problems that typically plague BI and analytics projects. We want to remove undifferentiated problems for our customers by letting automation do the heavy lifting.
We take a collaborative approach with our customers, which includes transparent knowledge sharing, as well as ongoing investment in documentation and training for the teams responsible for the solution on the client side.
We work with our customers to implement specific data security and governance controls while we take ownership of the successful implementation of their cloud-based data architecture and strategy.
Automated Data Pipelines
Infostrux builds and manages automated Data Pipelines for delivering Certified Data Sets to our customers. We take on the responsibility for the data ingestion, quality, integration, governance, and security, enabling our customers to focus on data analytics and science and development of data applications and products.
Using our cloud-native expertise and “as code” approach, we fully embrace DevOps and “everything as code” principles in our projects. Extracting reliable data from multiple data sources requires an automation mindset in everything we do and we’re happy to share this knowledge and expertise with our customers on how to do that successfully at the data layer.
Pod Delivery Model
Infostrux teams are organized into pods combining project managers, solutions architects, data architects, and engineers.
Each customer is assigned a pod, which will take on the
development and maintenance of their data platform and will work with them during the entire duration of their relationship with Infostrux. This pod ensures the ongoing maintenance of the customer’s data pipeline and allocates a certain amount of capacity per month towards its functional enhancement.
A pod’s availability is variable and can be scaled up and down on a monthly basis depending on the customer’s requirements at the time.
A Pod is a team is 5-8 specialists comprised of: Pod Lead (Solutions Architect), Engagement Manager, 1-2 Data Architects, 1-2 Cloud Software Engineers, 2-3 Data Engineers
The Pod works together as one team according to the allocation tier, which is the monthly capacity assigned to the customer project. This model offers the flexibility to increase or decrease the team velocity by adjusting the allocation tier over a certain period to match expected effort level.
Our customers are invited to participate in sprint planning and demo activities and may even provide their own resources to virtually collaborate closely with the Pod during the course of the project in an approach we call co-sourcing.
Snowflake Services Partner
Infostrux is a Snowflake Services Partner, building and operating reliable ‘as code’ data cloud solutions for business intelligence, data analytics, and data product use cases. Our data engineers and architects are SnowPro certified professionals ready to take on challenging projects. Infostrux is fully invested in the Snowflake’s Data Cloud platform and continues to deepen the partnership with Snowflake and the technology partner ecosystem around it.
Our team of SnowPro certified data engineers and data architects accelerate the process for quickly ingesting data from multiple sources, enabling users to bring it all together under one platform so you can focus on making quicker and better business decisions.
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