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DataSpoc

Services

DataSpoc offers professional services to help your team get the most out of your data lake. We work hands-on with your engineers and analysts to deliver results.

Data Lake Setup

Section titled “Data Lake Setup”

We help your team set up a production data lake on AWS, GCS, or Azure using the DataSpoc platform. From zero to first pipeline running.

What you get:

  • Cloud bucket architecture designed for your organization
  • IAM and access control configuration
  • First Pipe pipeline ingesting real data
  • Lens connected and querying
  • Documentation and runbooks for your team

Custom Connectors

Section titled “Custom Connectors”

Need a data source that doesn’t exist yet? We build custom Singer connectors for your internal sources or proprietary APIs.

What you get:

  • A production-ready Singer tap or target
  • Full test coverage
  • Documentation and maintenance guide
  • Optional: contributed back to the open-source Singer ecosystem

ML Consulting

Section titled “ML Consulting”

From feature engineering to model deployment. We help teams ship machine learning models to production using their own data lake.

What you get:

  • Feature engineering strategy for your domain
  • Model training and evaluation using DataSpoc ML
  • Deployment to production with monitoring
  • Knowledge transfer to your data science team

Training

Section titled “Training”

Hands-on workshops on data lake architecture, the DataSpoc platform, and modern data engineering practices.

Topics include:

  • Data lake fundamentals (Parquet, partitioning, schema evolution)
  • Building pipelines with DataSpoc Pipe
  • SQL analytics with DataSpoc Lens
  • Machine learning on data lakes with DataSpoc ML
  • Cloud infrastructure for data teams (AWS, GCS, Azure)

Workshops are available remotely or on-site.

Contact

Section titled “Contact”