Data Ops

Delivering end-to-end optimized data pipelines

Data quality solutions

Data pipeline execution

Support for batch Optimized resource usage

Explore our DataOps frameworks to solve challenges across the data value chain

Data quality metering

End-to-end solutions for data, people, and technology

  • Automated, scalable data profiling
  • Data quality monitoring, exception reports, and notifications for cloud and on-prem environments
  • Metadata enhancement with algorithm recommendations

Success drivers:

  • Jumbune: AI-powered APM
  • LeapLogic: Cloud accelerator
  • Engineering blueprints and patterns
Data pipeline optimization (application performance monitoring)

Faster data pipeline execution with optimized cluster resource usage for cloud and on-prem

  • Unified views across volume, velocity, variety, and anomalies
  • End-to-end optimized data pipeline execution, including metric collection, monitoring, and debugging
  • APM and AI-enabled solutions for optimizing resource utilization

Success drivers:

  • Jumbune: AI-powered APM
  • LeapLogic: Cloud accelerator
  • Engineering blueprints and patterns

See what we’ve achieved for our customers

Case Study

Centralized lake on AWS enabled a single source of truth

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Case Study

Prevented a legacy data lake renewal with Google Cloud Platform

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When your data is at its most efficient, so is your business

Experience DataOps services in action

Podcast

Challenges with implementing a data science solution

Webinar

Next-best-action marketing analytics

Video

Turn your data into action with unmatched ease and speed

Discover more ways our team can help

Discuss your needs with our team