DataOps
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Seamlessly manage data quality across the end to end analytics lifecycle and improve productivity
The rapid adoption of technologies like 5G, AI and ML is expanding the global datasphere at breakneck speed. Building on the essential capabilities to convert this burgeoning data volume into business value can be a daunting task without a robust DataOps process. Sigmoid’s DataOps services help analytics leaders across organizations stay business-ready by seamlessly orchestrating voluminous data efficiently throughout the data lifecycle. The proven DataOps methodology ensures uninterrupted development, seamless integration, testing, deployment, and monitoring of enterprise data operations. With years of expertise in data automation, data governance and data infrastructure optimization, Sigmoid helps companies enhance data pipeline availability, reduce downtime, lower operations costs, and mitigate data risks.
Leverage data quality management for tactical decision-making and operational efficiency.
Modernizing enterprise data operations with DataOps
Organizations face a host of challenges in streamlining data analytics and creating data pipelines. These may range from challenges due to proprietary choices, cloud, structural, or edge computing-related. The guidebook explains how dataops empowers businesses in the creation of processes that meet user needs throughout the life cycle of any data usage.
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Your key to high data governance and efficient data teams
Our DataOps experts leverage a robust tech stack to streamline data operations and improve scalability. We integrate leading dataops tools and platforms like Apache Nifi, prefect, Amazon S3, Airflow, Atlation, Google BigQuery, Apache Hadoop across the data lifecycle, from ingestion and transformation to orchestration and monitoring. Leveraging our data observability capabilities enables a quick and efficient way to keep track of ingestion patterns. Expertise in these technologies enables us to implement efficient data pipelines, automate workflows, reduce operations costs and enhance overall data management processes.
Empower business teams faster throughout the life cycle of data usage
Data Quality Mangement
We ensure that your data quality is intact throughout the end-to-end enterprise data lifecycle.
Action Automation
We handle petabytes of real-time data and identify opportunities to eradicate manual intervention.
CI/CD for Data Pipelines
Our engineers integrate code where needed without refactoring, leading to productivity improvement.
Observability
We excel in data pipeline observability and perform in-depth RCA and CAPA.
24/7 Support
Our engineers are available round the clock to provide continuous support and maximum uptime.
Cross-industry Competence
We bring in best practices across the data analytics lifecycle from CPG, BFSI, Manufacturing, Hi-tech, etc.
Customer success stories
99.99% uptime and zero outages with highly available, robust data pipelines for a leading cloud services provider
- 24/7 monitoring of production and staging pipelines
- 60% reduction in operating costs
- 55% reduction in new incidents
Our other offerings in data engineering
Data Pipelines
Automated data pipeline solutions reduce time to generate insights quickly for intelligent business decisions.
ML Engineering
Build new AI/ML solutions for rapid experimentation, live model performance, and effortless deployment of new predictive models as business needs demand.
Cloud Transformation
Modernize, migrate, and optimize cloud data performance with agility and reliability for optimal data usage.
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DevOps vs. DataOps
