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#12 - Top Data Trends for 2023 with Ivan Coelho

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Manage episode 351363432 series 3407385
Content provided by Christian Silva & Marc Montanari, Christian Silva, and Marc Montanari. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Christian Silva & Marc Montanari, Christian Silva, and Marc Montanari or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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Happy New Year, data community! We wish you a successful and data-driven year in 2023.

For this episode, we sit in person with Ivan Coelho (Solution Consultant in the data and work management industry) to discuss some data trends for 2023. As you will discover, not all topics, we are discussing receive the stamp of data trend from our point of view.

Potential data trends we discussed in this episode:

  • Data Mesh and Data Fabric
  • Real-time analytics
  • Data as a Service (DaaS)
  • Semantic Layer and Metric Layer
  • NLP (Natural Language Processing)
  • Data Contracts
  • TinyML and small data
  • BI (Business Intelligence)
  • Data Observability
  • Edge Computing
  • Augmented Analytics

Follow Ivan

LinkedIn: https://www.linkedin.com/in/ivancoelho/

Twitter: https://twitter.com/ijcoelho

Some of the articles we used for this episode:

https://www.knowledgehut.com/blog/data-science/data-science-trends

https://www.datasciencecentral.com/top-10-future-data-analytics-trends-in-in-2023/

https://bernardmarr.com/the-top-5-data-science-and-analytics-trends-in-2023/

https://www.cyberclick.net/numericalblogen/trends-in-data-and-analytics-for-2023

https://tomtunguz.com/9-predictions-for-data-2023/

We also mentioned the following:

Chad Sanderson on LinkedIn: https://www.linkedin.com/in/chad-sanderson

The Analytics Engineering Podcast - https://roundup.getdbt.com/s/the-analytics-engineering-podcast

Follow us on LinkedIn Instagram Twitter TikTok and Youtube !
Music by Skilsel.
This podcast represents our views and not the ones of our employers.

  continue reading

31 episodes

Artwork
iconShare
 
Manage episode 351363432 series 3407385
Content provided by Christian Silva & Marc Montanari, Christian Silva, and Marc Montanari. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Christian Silva & Marc Montanari, Christian Silva, and Marc Montanari or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Send us a text

Happy New Year, data community! We wish you a successful and data-driven year in 2023.

For this episode, we sit in person with Ivan Coelho (Solution Consultant in the data and work management industry) to discuss some data trends for 2023. As you will discover, not all topics, we are discussing receive the stamp of data trend from our point of view.

Potential data trends we discussed in this episode:

  • Data Mesh and Data Fabric
  • Real-time analytics
  • Data as a Service (DaaS)
  • Semantic Layer and Metric Layer
  • NLP (Natural Language Processing)
  • Data Contracts
  • TinyML and small data
  • BI (Business Intelligence)
  • Data Observability
  • Edge Computing
  • Augmented Analytics

Follow Ivan

LinkedIn: https://www.linkedin.com/in/ivancoelho/

Twitter: https://twitter.com/ijcoelho

Some of the articles we used for this episode:

https://www.knowledgehut.com/blog/data-science/data-science-trends

https://www.datasciencecentral.com/top-10-future-data-analytics-trends-in-in-2023/

https://bernardmarr.com/the-top-5-data-science-and-analytics-trends-in-2023/

https://www.cyberclick.net/numericalblogen/trends-in-data-and-analytics-for-2023

https://tomtunguz.com/9-predictions-for-data-2023/

We also mentioned the following:

Chad Sanderson on LinkedIn: https://www.linkedin.com/in/chad-sanderson

The Analytics Engineering Podcast - https://roundup.getdbt.com/s/the-analytics-engineering-podcast

Follow us on LinkedIn Instagram Twitter TikTok and Youtube !
Music by Skilsel.
This podcast represents our views and not the ones of our employers.

  continue reading

31 episodes

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