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Data Lakehouses & Apache Iceberg

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Manage episode 445368086 series 2285741
Contenu fourni par Massive Studios. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Massive Studios ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Alex Merced (@AMdatalakehouse, Senior Tech Evangelist, @dremio) talks about everything data and we dig deep into Apache Iceberg and DataLakehouses.
SHOW: 865
Want to go to All Things Open in Raleigh for FREE? (Oct 27th-29th)
We are offering 5 Free passes, first come, first serve for the Cloudcast Community -> Registration Link
Instructions:

  1. Click reg link
  2. Click “Get Tickets”
  3. Choose ticket option
  4. Proceed with registration (discount will automatically be applied, cost will be $0)

SHOW TRANSCRIPT: The Cloudcast #865 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET

CLOUD NEWS OF THE WEEK: - http://bit.ly/cloudcast-cnotw

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: - "CLOUDCAST BASICS"

SHOW NOTES:

Topic 1 - Welcome to the show. Tell us a little bit about your background.
Topic 2 - It’s been a little while since we talked about Data Lakehouses, can you give us a little bit of background on this space, and what the most recent dynamics are around these technologies.
Topic 3 - What are the typical integrations with a Data Lakehouse? How are users/developers typically interacting with Data Lakehouse technologies? [The marketplace for Iceberg catalogs like Nessie and Polaris]
Topic 4 - How does an open data format like Apache Iceberg fit into the bigger picture of data lakehouses, or large scale stores of data?
Topic 5 - How does Dremio enable Iceberg? How does Dremio sit in the intersection of Data Lakehouse, Data Mesh and Data Virtualization trends all of which come from the same fundamental problem, the growing scale of data use cases.
Topic 6 - We’ve seen companies start to rethink their data in the cloud strategies. Are you seeing on-premises making a comeback for large data applications

FEEDBACK?

  continue reading

908 episodes

Artwork

Data Lakehouses & Apache Iceberg

The Cloudcast

1,286 subscribers

published

iconPartager
 
Manage episode 445368086 series 2285741
Contenu fourni par Massive Studios. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Massive Studios ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Alex Merced (@AMdatalakehouse, Senior Tech Evangelist, @dremio) talks about everything data and we dig deep into Apache Iceberg and DataLakehouses.
SHOW: 865
Want to go to All Things Open in Raleigh for FREE? (Oct 27th-29th)
We are offering 5 Free passes, first come, first serve for the Cloudcast Community -> Registration Link
Instructions:

  1. Click reg link
  2. Click “Get Tickets”
  3. Choose ticket option
  4. Proceed with registration (discount will automatically be applied, cost will be $0)

SHOW TRANSCRIPT: The Cloudcast #865 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET

CLOUD NEWS OF THE WEEK: - http://bit.ly/cloudcast-cnotw

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: - "CLOUDCAST BASICS"

SHOW NOTES:

Topic 1 - Welcome to the show. Tell us a little bit about your background.
Topic 2 - It’s been a little while since we talked about Data Lakehouses, can you give us a little bit of background on this space, and what the most recent dynamics are around these technologies.
Topic 3 - What are the typical integrations with a Data Lakehouse? How are users/developers typically interacting with Data Lakehouse technologies? [The marketplace for Iceberg catalogs like Nessie and Polaris]
Topic 4 - How does an open data format like Apache Iceberg fit into the bigger picture of data lakehouses, or large scale stores of data?
Topic 5 - How does Dremio enable Iceberg? How does Dremio sit in the intersection of Data Lakehouse, Data Mesh and Data Virtualization trends all of which come from the same fundamental problem, the growing scale of data use cases.
Topic 6 - We’ve seen companies start to rethink their data in the cloud strategies. Are you seeing on-premises making a comeback for large data applications

FEEDBACK?

  continue reading

908 episodes

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