What is Data Observability?

Data observability is an organization’s capacity to control the health of the data in their systems by monitoring, tracking, and triaging of incidents to prevent downtime.

Operational health

Monitor the state of the pipelines gives awareness into the state of data while it’s transforming and moving through pipelines.

Dataset monitoring

Getting awareness into the state of the data while it’s in a fixed location to make sure the data arrived on time and with the expected volume.

Data profiling

Identify potential data issues(range, unicity) use anomaly detection to alert changes and apply business rules for data row validation.

Why Vortex AI
Data Observabilty Platform?

Here are some common features that our data observability platform offers:

Monitoring

Dashboard that provides an operational view of all the pipeline moving data in the system.

Alerting

For expected events defined by the business rules and anomalies identified by the data profilers.

Tracking

The ability to track specific events
along the chain of pipelines
and services.

Analysis

Monitoring over time with automated issue detection that adapts to data and pipeline profile.

Logging

Record each event in a
standardized format for
faster resolution.

SLA Tracking

The ability to measure data quality and pipeline metadata against pre-defined standards.

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Our Blog

A selection of news from the world of data observability and IoT.

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At Vortex AI we know that the shortest way to deliver a project on time and within the established budget goes through a rigorous planning and for this reason we take the necessary time to analyze your needs and plan your project in the smallest details, from allocating resources and finding the most suitable technical solutions through testing.