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Forum Posts

Ananthakris
by New Contributor II
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Databricks mlflow

Learn more technology 

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Latest Reply
Ananthakris
New Contributor II
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Learnt model monitoring. LLM was one of the areas I wanted to explore, and learnt falcon can help

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98995
by New Contributor
  • 693 Views
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Data and AI Summit 2023

It's my first day at the Data and AI Summit this year and the organization of this conference has been excellent. I have particularly enjoyed the Databricks speakers who are well organized in their presentations and hinting at new features on the roa...

  • 693 Views
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milinshah
by New Contributor
  • 1378 Views
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Databricks AI Summit 2023

Thank you so much for organizing this big event. The main purpose of attending this event is to get to know about how the databricks is solving the problems for thousands of customers. The training session I attend for the databricks was amazing and ...

  • 1378 Views
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PersonalWork
by New Contributor
  • 967 Views
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Feed back on my trainings

My Role: Associate Vice PresidentMy Experience in Summit: I am still getting my head wrapped around Databricks. Till now it is kind of eye opener.Architecture Training: Got introduced to admin related issues. It gave little bit of idea on Databricks ...

  • 967 Views
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AbbasNvs
by New Contributor
  • 1221 Views
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Data Engineering Hub

I have been using databricks from last 2 years and have got involved with arranging when I was in my masters. Databricks did not made data engineering easy for me but helped me become a data engineer. I got into this 2 all day training from Advanced ...

  • 1221 Views
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JoshJackson
by New Contributor
  • 814 Views
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First time summiter!

Loving the 2023 Databricks Data+AI Summit so far!  Hoping to learn more about techniques I can use within the Databricks environments I currently use to enhance my workflow!

  • 814 Views
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rmarch200
by New Contributor
  • 921 Views
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MLFlow and Feature Tables

I’m very interested in learning about how to integrate MLFlow into our existing model training and inference pipelines, and how we can leverage the feature store tables and pipelines to simplify feature engineering flows without duplicating code logi...

  • 921 Views
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Salmiakki
by New Contributor
  • 4990 Views
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Structured Streaming and Delta Live Tables

Structured Streaming and Delta Live Tables.Structured Streaming: Structured Streaming is a stream processing engine built on Apache Spark that provides high-level, declarative APIs for processing and analyzing continuous data streams. It allows devel...

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jakub_sykora
by New Contributor
  • 604 Views
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Excited about Databricks

CTO at our company, DBX is definitely accelerating our data and data science development, came here to learn more about data engineering in order to teach my guys how to boost up our deliveries.

  • 604 Views
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lasermike
by New Contributor
  • 737 Views
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<3 DAIS

I want to be the very best. The best there was. These datasets got to understand, how I love data engineering. I am a data engineer. In commercial aerospace.

  • 737 Views
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Sri_RL
by New Contributor II
  • 780 Views
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Break out Sessions

Had an exciting day today in the Data and AI Summit. Enjoyed all the breakout sessions. As a data architect, Spark performance optimization session by Jacek and Monte Carlo EffecTV sessions stood out tall. Partner keynote by Ali was very informative....

  • 780 Views
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