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Master Data Workload Automation: Introduction

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Automating your data workloads is essential in today's mission critical data driven businesses but what is the best way to do it? There are two basic choices: job schedulers and data orchestrators. I'll explain what they are, review some examples, and explain when to use each.
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Опубликовано:

17 авг 2024

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Комментарии : 10

@caydendunn8404 6 месяцев назад

great video. love when someone with many years of experience takes the time to share their knowledge

@user-wp6di4tz4p 5 месяцев назад

Very nice explanation Bryan.. Thank you so much

@BryanCafferky 4 месяца назад

You're welcome!

@kandoras.guzman6705 6 месяцев назад

Thank you for this! I literally said to myself yesterday that I'd like a video on this and now you've uploaded it.

@BryanCafferky 6 месяцев назад

Kismet 🙂

@jorgemercado593 5 месяцев назад

Thank you Bryan!

@BryanCafferky 5 месяцев назад

You're Welcome!

@DucVu-ip5pc 6 месяцев назад

Thanks sir. I understand more about these terms in data world. I learnt to use both apache airflow and dagster. Firstly, I love airflow cause flexibility of this tool and I completely hate Dagster cause the methodology is completely hard to understand. But more and more working with data, I prefer to use Dagster for some job is rarely data and Airflow for genral job.