Compare Data Lakehouse Table Formats: Iceberg, Hudi and Delta Lake - Subsurface Meetup
7.8 هزار بار بازدید -
2 سال پیش
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- Article on Architecture of
- Article on Architecture of the three Table Formats: https://bit.ly/am-format-arch
- Apache Iceberg 101 Article: https://bit.ly/am-iceberg-101
- Tutorial to build a prototype lakehouse on your laptop: https://bit.ly/am-dremio-lakehouse-la...
- Get your free lakehouse: https://bit.ly/am-dremio-get-started-...
Are you looking to compare the three main Data Lakehouse table formats - Apache Iceberg, Apache Hudi and Delta Lake? Then don't miss this Subsurface Meetup where Dremio developer advocate, Alex Merced, presents a comparison of the three formats.
Data Lakehouse is a modern data architecture that combines the best of both Data Warehouses and Data Lakes. Using a Data Lakehouse enables organizations to simplify their data infrastructure, improve agility, and enhance data accessibility.
At this Subsurface Meetup, Alex Merced will discuss the differences between Apache Iceberg, Apache Hudi and Delta Lake - three of the most popular table formats in use today. He will explore each format's features and capabilities to help you decide which one might be right for your organization.
You can also check out Alex's comparison articles on the topic: an Overview Article on the comparison of Data Lake table formats; a Governance Article on Table Format Governance and Community Contributions; and a Partitioning Article on Table Format Partitioning Comparison.
Don't miss this Subsurface Meetup to get an in-depth look into Data Lakehouse Table Format Comparison (Iceberg, Hudi and Delta Lake). Join the Subsurface Meetup group today to stay updated with future meetups: https://meetu.ps/c/4XyCg/WXWKh/a
You can also follow Dremio (@dremio), Subsurface (@SubsurfaceComm) and Alex Merced (@amdatalakehouse) on Twitter for more information.
Connect with us!
Twitter: https://bit.ly/30pcpE1
LinkedIn: https://bit.ly/2PoqsDq
Facebook: https://bit.ly/2BV881V
Community Forum: https://bit.ly/2ELXT0W
Github: https://bit.ly/3go4dcM
Blog: https://bit.ly/2DgyR9B
Questions?: https://bit.ly/30oi8tX
Website: https://bit.ly/2XmtEnN
- Apache Iceberg 101 Article: https://bit.ly/am-iceberg-101
- Tutorial to build a prototype lakehouse on your laptop: https://bit.ly/am-dremio-lakehouse-la...
- Get your free lakehouse: https://bit.ly/am-dremio-get-started-...
Are you looking to compare the three main Data Lakehouse table formats - Apache Iceberg, Apache Hudi and Delta Lake? Then don't miss this Subsurface Meetup where Dremio developer advocate, Alex Merced, presents a comparison of the three formats.
Data Lakehouse is a modern data architecture that combines the best of both Data Warehouses and Data Lakes. Using a Data Lakehouse enables organizations to simplify their data infrastructure, improve agility, and enhance data accessibility.
At this Subsurface Meetup, Alex Merced will discuss the differences between Apache Iceberg, Apache Hudi and Delta Lake - three of the most popular table formats in use today. He will explore each format's features and capabilities to help you decide which one might be right for your organization.
You can also check out Alex's comparison articles on the topic: an Overview Article on the comparison of Data Lake table formats; a Governance Article on Table Format Governance and Community Contributions; and a Partitioning Article on Table Format Partitioning Comparison.
Don't miss this Subsurface Meetup to get an in-depth look into Data Lakehouse Table Format Comparison (Iceberg, Hudi and Delta Lake). Join the Subsurface Meetup group today to stay updated with future meetups: https://meetu.ps/c/4XyCg/WXWKh/a
You can also follow Dremio (@dremio), Subsurface (@SubsurfaceComm) and Alex Merced (@amdatalakehouse) on Twitter for more information.
Connect with us!
Twitter: https://bit.ly/30pcpE1
LinkedIn: https://bit.ly/2PoqsDq
Facebook: https://bit.ly/2BV881V
Community Forum: https://bit.ly/2ELXT0W
Github: https://bit.ly/3go4dcM
Blog: https://bit.ly/2DgyR9B
Questions?: https://bit.ly/30oi8tX
Website: https://bit.ly/2XmtEnN
2 سال پیش
در تاریخ 1401/04/09 منتشر شده
است.
7,810
بـار بازدید شده