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Y42

@y42dotcom

Mission Control for Your Data Pipelines

ID: 1367070093646192643

linkhttps://www.y42.com/ calendar_today03-03-2021 11:12:17

333 Tweet

286 Followers

120 Following

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Here are the 6 key benefits of #datamonitoring.๐Ÿ‘‡๐Ÿผ 1๏ธโƒฃ Faster debugging and minimized inconsistencies 2๏ธโƒฃ Increased business efficiency 3๏ธโƒฃ Stable and standardized data pipeline 4๏ธโƒฃ Faster retrieval of actionable data 5๏ธโƒฃ Reduced data preparation time 6๏ธโƒฃ Cost-effectiveness

Here are the 6 key benefits of #datamonitoring.๐Ÿ‘‡๐Ÿผ

1๏ธโƒฃ Faster debugging and minimized inconsistencies 
2๏ธโƒฃ Increased business efficiency 
3๏ธโƒฃ Stable and standardized data pipeline
4๏ธโƒฃ Faster retrieval of actionable data
5๏ธโƒฃ Reduced data preparation time
6๏ธโƒฃ Cost-effectiveness
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Types of #datagovernance frameworks: โœ… Command and control framework โœ… Traditional frameworkย  โœ… Non-invasive frameworkย  Which one should you choose? That will depend on your company goals and team structure.

Types of #datagovernance frameworks:
โœ… Command and control framework
โœ… Traditional frameworkย 
โœ… Non-invasive frameworkย 

Which one should you choose? That will depend on your company goals and team structure.
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๐Ÿ‘‡๐Ÿผ This is what you need to do to avoid not knowing when a data model failed. ๐Ÿ‘‡๐Ÿผ Test intermediate and core models too! ๐Ÿ’ก If you don't, you let errors pass onto your final model and have to check all previous models to identify the culprit. ๐Ÿซ  #datatesting #datamodeling

๐Ÿ‘‡๐Ÿผ This is what you need to do to avoid not knowing when a data model failed. ๐Ÿ‘‡๐Ÿผ

Test intermediate and core models too! ๐Ÿ’ก

If you don't, you let errors pass onto your final model and have to check all previous models to identify the culprit. ๐Ÿซ 

#datatesting  #datamodeling
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Here are 3 steps to follow if you want to implement #dataownership within your organization.๐Ÿ‘‡๐Ÿผ 1๏ธโƒฃ Get an overview of all your data assets by making an inventory 2๏ธโƒฃ Determine domain experts per data asset 3๏ธโƒฃ Implement a data catalog for better traceability

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Discover the power of automated #datapipelines! Join Eliott Sacau (Red Sift ), Jelena Mijuskovic (Google ) and Ba Khai Tran (Y42 ) in our upcoming #webinar! ๐Ÿ‘‰๐Ÿผ Sign up here: lnkd.in/eXMaE5Nx

Discover the power of automated #datapipelines!

Join Eliott Sacau (<a href="/redsift/">Red Sift</a> ), Jelena Mijuskovic (<a href="/Google/">Google</a> ) and Ba Khai Tran (<a href="/y42dotcom/">Y42</a> ) in our upcoming #webinar! 

๐Ÿ‘‰๐Ÿผ Sign up here: lnkd.in/eXMaE5Nx
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Looking for an insightful read to wrap up the week? ๐Ÿค“ How about discovering the power of #Git workflows and branching strategies to #versioncontrol your #dataproducts? Check out our recommended #readoftheweek here: ๐Ÿ‘‡๐Ÿผ y42.com/blog/version-cโ€ฆ

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Do you know the difference between #datamanagement and #datagovernance? ๐Ÿ‘‰๐Ÿผ Check out our #readoftheday to learn the differences, similarities, and use cases of data management and data governance: y42.com/blog/data-manaโ€ฆ

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Have we already mentioned that we have a #webinar coming up? ๐Ÿ‘€ โœ… Learn how to manage increasing data needs and requests. โœ… Learn how to automate your data infrastructure as your company grows. ๐Ÿ‘‰๐Ÿผ Sign up here:ย y42.com/event/event-paโ€ฆ

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Part of a data team's responsibility is improving a company's overall #dataliteracy. Start sharing #datacontent with business users, beginner data analysts, or anyone in between. Here's our pick for their perfect #readoftheweek: y42.com/blog/data-pipeโ€ฆ

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Thank you to everyone who joined our #webinar with Red Sift and Google Cloud on the benefits of automating your data pipelines. ๐Ÿ‘‰๐Ÿผ If you missed out on the webinar, you can watch the recording here: y42.com/event/data-opeโ€ฆ

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Want to improve your company's #datagovernance program this year? ๐Ÿ‘‰๐Ÿผ Check out our #readoftheweek to learn how you can implement data governance best practices into your day-to-day work: y42.com/blog/data-goveโ€ฆ

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#Readoftheweek ๐Ÿค“๐Ÿ‘‡๐Ÿผ Poor data quality undermines all the time and effort you put into your work. โŒ Your systems don't matter โŒ How robust your pipelines are doesn't matter Learn more about the importance of #dataquality for #dataengineers here: y42.com/blog/data-qualโ€ฆ

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Data teams keep making the same mistakes over and over again. Why is that? ๐Ÿค” Hereโ€™s our guess: โŒ Lack of reflection and learning โŒ Ineffective collaboration โŒ Inadequate documentation โŒ Failure to adapt to change Learn more here: y42.com/blog/data-teamโ€ฆ

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Sharing some best practices for working with dbt and BigQuery. Hands-on insights from a data practitioner. Discussing relevant BigQuery functions, table partitioning, and materialization strategies. Check it out: y42.com/blog/dbt-bigquโ€ฆ

Sharing some best practices for working with dbt and BigQuery. Hands-on insights from a data practitioner. Discussing relevant BigQuery functions, table partitioning, and materialization strategies.

Check it out: y42.com/blog/dbt-bigquโ€ฆ
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We're introducing a new stateful, declarative approach for data pipelines. Ensuring auditable, simple, standardized code with full traceability and zero compute cost for changes. Read on here: y42.com/blog/stateful-โ€ฆ

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As we embrace the challenges and opportunities of 2024, it's crucial to stay ahead in the data world. We sat together with Madison Schott to discuss key industry trends and make 5 data predictions for 2024. ๐Ÿ”ฎ Read on in our blog post: y42.com/blog/5-data-prโ€ฆ

As we embrace the challenges and opportunities of 2024, it's crucial to stay ahead in the data world. We sat together with Madison Schott to discuss key industry trends and make 5 data predictions for 2024. ๐Ÿ”ฎ

Read on in our blog post: y42.com/blog/5-data-prโ€ฆ
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๐–๐ž'๐ซ๐ž ๐ž๐ฑ๐œ๐ข๐ญ๐ž๐ ๐ญ๐จ ๐ฎ๐ง๐ฏ๐ž๐ข๐ฅ "๐๐ฒ๐ญ๐ก๐จ๐ง ๐ˆ๐ง๐ ๐ž๐ฌ๐ญโ€, ๐จ๐ฎ๐ซ ๐ฅ๐š๐ญ๐ž๐ฌ๐ญ ๐ข๐ง๐ง๐จ๐ฏ๐š๐ญ๐ข๐จ๐ง ๐๐ž๐ฌ๐ข๐ ๐ง๐ž๐ ๐ญ๐จ ๐ž๐ง๐ก๐š๐ง๐œ๐ž ๐๐š๐ญ๐š ๐ข๐ง๐ ๐ž๐ฌ๐ญ๐ข๐จ๐ง ๐ฉ๐ซ๐จ๐œ๐ž๐ฌ๐ฌ๐ž๐ฌ. With Python Ingest, you can: ๐Ÿš€ implement custom ingestion logic, ๐Ÿš€ remove