Or how to unlock reliability of your data assets at any stage of the pipeline.
Empowering data users to isolate bad-quality data before it reaches business workflow.
Enhancing data quality at every stage of the data journey.
A Review of our product by Madison Schott, Analytics Engineer at WINC.
What does Single Source of Truth mean practically? And most importantly, is it achievable within organizations? We sat down with Edouard Flouriot from Aircall and Alexandre Cortyl from Dashlane to answer these questions and provide more clarity on this widely discussed topic.
This partnership will enable mutual customers of Sifflet and the Google Cloud suite to unlock end-to-end observability across their cloud data stack.
Data Integration 2.0, Data Mesh, Data warehouse performance, and Data Observability. It’s been a rich year for Data & Analytics.
Have you ever suffered from heavy dashboards or timed out queries? The issue may not be coming from your visualisation tool or your data warehouse but from your SQL query itself.
What is GDPR? What Engineering challenges does it bring? And how to build the right Data Infrastructure to ensure GDPR compliance?
A brief description of the different eras that shaped the evolution of Compute environments.
5 rules on how to excel at Data Driven Decision Making.
What is Data Lineage? Why does it matter? And how to get started with Data Traceability & Lineage and pick the right tool?
What is Data Quality? Why is it Important? How to measure it? and 5 best practises.
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