Expertise / Comprehensive Data Infrastructures

Comprehensive Data Infrastructures

DATA INFRASTRUCTURE CHALLENGES

Data-driven software is a key driver of business value and differentiation today.

Harness the right sources of data in the right way, and you can generate game-changing insight for your business. But data is big and complex.

Whether it’s remote or on-site sensing from deployed devices, video or imaging from camera feeds, or aggregating multiple data-only APIs, building and maintaining large and sophisticated data infrastructures can be a challenge for any team.

DATA USE CASES

Data pipelines: many, varied, or complex

When confronting the challenges associated with comprehensive data pipelines, it’s important to understand that it’s not a factor of how many sources, but how to automate any and all data sources that are relevant to the desired outcome. Likewise, it’s not about how varied the data sources are, but rather the processing rules and how they might be particular to the data being handled.

Regardless of the nature and scale of your challenge, our team, led by former CERN leader and Cledar CTO Piotr Nyczyk, would love to hear about it.

Meet Piotr from our Data Infrastructure team

DATA INFRASTRUCTURE SERVICES

Infrastructure beyond DevOps and cloud, purposefully built for processing optimization

Some examples of the work we do:

Data Flows

End-to-end optimized data pipelines with queueing and retention

Versatile Sampling

Multi-frequency data streams ingestion and merging

Parallel Processing

Distributed and highly parallelized filtering and processing

Stream Processing

Media processing pipelines with plugged-in cascading AI algorithms

CONTACT CLEDAR

Interested in enhancing your data capabilities?

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