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fernet.consultores

Digital Engineering & Automation

Data Pipelines.

Pipelines that collect, transform and deliver data between systems reliably and observably.

The problem we solve.

Data arriving late, duplicated or in a different format depending on the day. When a data process fails silently, reports and decisions end up based on incorrect information.

What’s included.

  • Data flow design
  • Extraction, transformation and loading
  • Data quality validation
  • Error handling and reprocessing
  • Pipeline monitoring

How we work.

Five phases, always in the same order. Select each one to see what happens in it. In full projects they map onto the stages of our method.

We understand the process, the systems involved, the constraints and how success will be measured.

We design the solution: components, interfaces, security, error handling and deployment.

We build the pipeline with data quality checks, error handling and reprocessing.

We check the volume, latency and quality of the output data against the source.

We measure actual usage, fix issues and document so your team can maintain it.

Technical capabilities.

  • Python
  • OpenTelemetry Collector
  • Splunk Edge Processor and Ingest Processor
  • Message queues
  • Schema validation
  • Pipeline observability

Use cases.

Telemetry

Bring logs and metrics into Splunk, filtered and normalised.

Data integration

Move data between applications and stores.

Quality

Catch incomplete data before it reaches a report.

Benefits for your organisation.

  • Reliable, timely data
  • Failures detected immediately
  • Less unusable volume
  • Reproducible processes

Deliverables.

  • Deployed pipeline
  • Quality validations
  • Monitoring and alerts
  • Documentation

Frequently asked questions.

How do you know a pipeline has failed?

We instrument it to measure volume, latency and errors, with alerts when anything falls outside the norm.

Can data be reprocessed?

Yes, we design the pipeline so a section can be replayed without duplicating data.

Can it send data to Splunk?

Yes, and it's a good way to filter and normalise before indexing.

Shall we talk about Data Pipelines?

Tell us about your situation. If this service is not what you need, we will tell you; if it is, we will propose a concrete first step.

Request this service