This presentation was recorded at GOTO Chicago 2020. #GOTOcon #GOTOchgo
http://gotochgo.com
Jiaqi Liu - Leader in Bridging the Gap between Data Science and Engineering
ABSTRACT
Data-intensive applications, with many layers of transformations and movement from different data sources, can often be challenging to maintain even after they are initially built and validated. To truly expand and develop a code base, developers must be able to test confidently during the development process and monitor the production system. Monitoring and testing data pipelines or real-time streaming processes can be very different from monitoring web services.
Jiaqi draws on her experience building and maintaining both batch and real-time stream data pipelines to discuss how to leverage monitoring tools like Prometheus and Grafana to define and visualize metrics, how and when to alert on common health indicators, and how to gain visibility in monitoring not just the system health but the health of the data. General concepts she touches on include observability of pipeline health, interpretability of data results and building features into data pipelines that makes monitoring and testing just a little [...]
TIMECODES
00:00 Intro
00:56 Data Pipelines
03:20 What could go wrong?
05:16 Data pipeline concerns
06:14 Interpretability
07:42 Observability
08:44 Pipeline features
09:17 Immutable data
10:52 Data lineage
13:08 Dry run mode
15:21 Testing, monitoring & alerting
Download slides and read the full abstract here:
https://gotochgo.com/2020/sessions/1321/observability-for-data-pipelines-monitoring-alerting-and-tracing-lineage
RECOMMENDED BOOKS
Rishu Mehra • What is Data Observability • https://amzn.to/3zdkxFK
Gerardus Blokdyk • Observability Services A Complete Guide • https://amzn.to/3zgA73A
Bas P. Harenslak & Julian Rutger de Ruiter • Data Pipelines with Apache Airflow • https://amzn.to/3hrGH4a
James Densmore • Data Pipelines Pocket Reference • https://amzn.to/3DU4qRU
Barr Moses, Lior Gavish & Molly Vorwerck • Data Quality Fundamentals • https://amzn.to/3DSouUW
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