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Frequently asked questions
Is Sifflet planning to offer native support for Airbyte in the future?
Yes, we're excited to share that a native Airbyte connector is in the works! This will make it even easier to integrate and monitor Airbyte pipelines within our observability platform. Stay tuned as we continue to enhance our capabilities around data lineage, automated root cause analysis, and pipeline resilience.
How can inefficient SQL queries impact my data pipeline performance?
Great question! Inefficient SQL queries can lead to slow dashboards, increased ingestion latency, and even failed workloads. By optimizing your queries using best practices like proper filtering and avoiding SELECT *, you help improve data pipeline monitoring and maintain overall data reliability.
What should I look for in a data lineage tool?
When choosing a data lineage tool, look for easy integration with your data stack, a user-friendly interface for both technical and non-technical users, and complete visibility from data sources to storage. These features ensure effective data observability and support your broader data governance efforts.
What’s the difference between a data catalog and a storage platform in observability?
A great distinction! Storage platforms hold your actual data, while a data catalog helps you understand what that data means. Sifflet connects both, so when we detect an anomaly, the catalog tells you what business process is affected and who should be notified. It’s how we turn raw telemetry into actionable insights for better incident response automation and SLA compliance.
How does Sifflet help with analytics tools like Looker?
Sifflet extends its end-to-end data observability to Looker, helping you ensure the data powering your dashboards is accurate and reliable. This means fewer surprises and more confidence in your business insights.
What benefits does end-to-end data lineage offer my team?
End-to-end data lineage helps your team perform accurate impact assessments and faster root cause analysis. By connecting declared and built-in assets, you get full visibility into upstream and downstream dependencies, which is key for data reliability and operational intelligence.
How often is the data refreshed in Sifflet's Data Sharing pipeline?
The data shared through Sifflet's optimized pipeline is refreshed every four hours. This ensures you always have timely and accurate insights for data quality monitoring, anomaly detection, and root cause analysis within your own platform.
What can I expect from Sifflet’s upcoming webinar?
Join us on January 22nd for a deep dive into Sifflet’s 2024 highlights and a preview of what’s ahead in 2025. We’ll cover innovations in data observability, including real-time metrics, faster incident resolution, and the upcoming Sifflet AI Agent. It’s the perfect way to kick off the year with fresh insights and inspiration!













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