Alex Merced (@AMdatalakehouse, Senior Tech Evangelist, @dremio) talks about everything data and we dig deep into Apache Iceberg and DataLakehouses.

SHOW: 865

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SHOW TRANSCRIPT: The Cloudcast #865 Transcript

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

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

SHOW NOTES:

Dremio (homepage)
Hands-on with Apache Iceberg Tutorial
Apache Iceberg Crash Course
Data Lakehouses and Apache Hudi (Cloudcast Eps. 694)
Apache Iceberg, the Definitive Guide (eBook)
Apache Iceberg (homepage)
Iceberg + Nessie Catalog (homepage)
Iceberg + Polaris Catalog (homepage)
AlexMerced.com
DataLakehouseHub.com

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

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Data Lakehouses & Apache Iceberg

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