Spotlight on data Self-service data : reliable data pipelines at Intuit
"There's no scarcity of raw data within enterprises. So why can't analysts and data scientists generate insights fast enough to keep up with business needs? Extracting insights depends on data engineering and source teams to ingest, clean, catalog, debug, and deploy, slowing down the...
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Formato: | Vídeo online |
Idioma: | Inglés |
Publicado: |
[Place of publication not identified] :
O'Reilly Media
[2019]
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Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822804706719 |
Sumario: | "There's no scarcity of raw data within enterprises. So why can't analysts and data scientists generate insights fast enough to keep up with business needs? Extracting insights depends on data engineering and source teams to ingest, clean, catalog, debug, and deploy, slowing down the overall process. One solution: make the data platform self-serve for analysts and data scientists. And Intuit is doing just that. In this Spotlight on Data, Sandeep Uttamchandani gives an overview of the self-serve design patterns and frameworks Intuit has built to expedite time to reliable insights--its metric of success. You'll learn how the company uses circuit breakers in data pipelines to make data availability in dashboards a function of the data quality, radically reducing debugging time."--Resource description page. |
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Notas: | Title from title screen (viewed April 16, 2020). |
Descripción Física: | 1 online resource (1 streaming video file (50 min., 11 sec.)) : digital, sound, color |