Ensure Data Trust and Certainty Through Observability

Stay ahead of data issues before they escalate—see how Nitrate™ helps you gain continuous visibility, role-based insights, and control over data health from source systems to executive KPIs.

In a world where bad data costs businesses an average of $12.9 million annually (Gartner), trusting your data ecosystem isn’t optional—it’s survival. Yet, most teams are stuck with fragmented tools that answer, “Did the pipeline run?” but never the other question: “Can I trust the data inside it?” Enter Nitrate™—a role-based, AI-driven Data Observability framework by GSPANN. It doesn’t just monitor your data; it certifies its health from raw sources to boardroom KPIs.

What Makes Nitrate™ Different

Traditional data monitoring tools focus on whether a pipeline has run correctly. Nitrate™ goes a step further. It ensures that the data within those pipelines has been transported, transformed, and validated with absolute accuracy. This deep visibility into your data’s health—from its sources to the KPIs that drive your business decisions—is what sets Nitrate™ apart.

Key Features of Nitrate™

Nitrate™ is designed to address the multifaceted challenges of data management across various roles and departments. By offering role-based insights, continuous observability, seamless integration, and customizable alerts, Nitrate™ enhances data observability, empowering businesses to maintain a robust and reliable data infrastructure.

Role-Based Insights:

Nitrate™ offers an intuitive, role-based dashboard that provides relevant data health views for everyone—whether you’re a business executive, data engineer, or part of the operations team. This ensures all stakeholders are aligned on the same data truth.

Continuous Observability: Health Checks 24/7/365

Nitrate™ provides constant measurement and publishing of health metrics across your entire data ecosystem, including data pipeline health, data transformation health, data domain health, business measures and KPI’s health.

Plug-and-Play Integration: No More Tool Silos

Nitrate™ integrates with popular cloud services like Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS) as well as data platforms such as Databricks and Snowflake. It also connects with productivity tools like Jira, Slack, and , making collaboration on data health issues easy.

Self-Service Alerts: Your Rules, Your Way

Users can self-subscribe to alerts and notifications, configuring how and where they want to receive them (e.g., via email or Slack). This ensures teams stay on top of data health without being overwhelmed by unnecessary alerts.

Deep Dive: Pipeline Health Observability

For Production Support Engineers (SREs), Nitrate™ provides tools to monitor data pipeline jobs, communicate issues, and perform root cause analysis (RCA).

Key Features

Table 1: Key Features
Feature	Description
Data Layer Status	Current health of data layers
Jobs Summary	Overview of all jobs
Job Execution Statistics	Metrics on failures, delays, and SLA breaches
Trend Over Time	Historical performance insights
Drill-Down Capabilities	Detailed task-level execution data

Tech Stack

Table 2: Tech Stack
Component	Platform
Platform	Google Cloud Platform
Orchestration	Apache Airflow
Visualization	Tableau, Apache Superset
Version Control	Bitbucket
Database	Airflow DB (PostgreSQL) & SQL Server

Addressing Common Pipeline Challenges

Delayed Issue Detection: Real-time alerts and dashboards highlight deviations, enabling faster root-cause analysis (RCA).
Dashboard Usability: Focus on critical metrics like execution trends and SLA breaches, with drill-down features for deeper analysis.
Data Transformation: Use reusable transformations and parameterized scripts to handle evolving KPI requirements.
Data Acquisition Complexity: Standardized APIs and reusable ETL scripts simplify metadata extraction.
Performance Overhead: Lightweight agents and asynchronous processes minimize impact on operational systems.

Deep Dive: Data Health Observability

Data health focuses on the quality of data processed by pipelines. The goal is to ensure accurate, complete, consistent, timely, and relevant data. Nitrate™ uses GSPANN’s BEAT™ framework to automate data profiling and auditing, providing high-quality data to consumers.

Key Metrics

Table 3: Key Metrics
Metric	Description
Accuracy	Data is correct and error-free.
Completeness	All required data is present.
Consistency	Data is uniform across systems.
Timeliness	Data is up-to-date and delivered on time.
Relevance	Data is appropriate for its intended purpose.

Addressing Common Data Health Challenges

Real-Time Monitoring: Event-driven architectures and streaming platforms enable real-time data validation.
Metadata Gaps: Enrich metadata with detailed lineage information to trace data quality issues.
Performance Overhead: Execute validation tasks asynchronously or during off-peak hours.
Stakeholder Alignment: Conduct workshops and provide detailed documentation to align expectations.
Complex Reconciliation: Build configurable reconciliation rules tailored to specific domains or datasets.

The Nitrate™ Advantage: By the

The Future Is Observable

Data ecosystems will only grow more complex. With Nitrate™, you’re not just keeping pace—you’re future-proofing. It’s not about monitoring more. It’s about knowing better. In a world where data is king, Nitrate™ ensures your data reigns supreme. Get on top of your data right away!

For more information: https://www.gspann.com/contact-us/.