Artwork

内容由Confluent, founded by the original creators of Apache Kafka® and Founded by the original creators of Apache Kafka®提供。所有播客内容(包括剧集、图形和播客描述)均由 Confluent, founded by the original creators of Apache Kafka® and Founded by the original creators of Apache Kafka® 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Player FM -播客应用
使用Player FM应用程序离线!

Git for Data: Managing Data like Code with lakeFS

30:42
 
分享
 

Manage episode 352916148 series 2355972
内容由Confluent, founded by the original creators of Apache Kafka® and Founded by the original creators of Apache Kafka®提供。所有播客内容(包括剧集、图形和播客描述)均由 Confluent, founded by the original creators of Apache Kafka® and Founded by the original creators of Apache Kafka® 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Is it possible to manage and test data like code? lakeFS is an open-source data version control tool that transforms object storage into Git-like repositories, offering teams a way to use the same workflows for code and data. In this episode, Kris sits down with guest Adi Polak, VP of DevX at Treeverse, to discuss how lakeFS can be used to facilitate better management and testing of data.
At its core, lakeFS provides teams with better data management. A theoretical data engineer on a large team runs a script to delete some data, but a bug in the script accidentally deletes a lot more data than intended. Application engineers can checkout the main branch, effectively erasing their mistakes, but without a tool like lakeFS, this data engineer would be in a lot of trouble.
Polak is quick to explain that lakeFS isn’t built on Git. The source code behind an application is usually a few dozen mega bytes, while lakeFS is designed to handle petabytes of data; however, it does use Git-like semantics to create and access versions so adoption is quick and simple.
Another big challenge that lakeFS helps teams tackle is reproducibility. Troubleshooting when and where a corruption in the data first appeared can be a tricky task for a data engineer, when data is constantly updating. With lakeFS, engineers can refer to snapshots to see where the product was corrupted, and rollback to that exact state.
lakeFS also assists teams with reprocessing of historical data. With lakeFS data can be reprocessed on an isolated branch, before merging, to ensure the reprocessed data is exposed atomically. It also makes it easier to access the different versions of reprocessed data using any tag or a historical commit ID.
Tune in to hear more about the benefits of lakeFS.
EPISODE LINKS

  continue reading

章节

1. Intro (00:00:00)

2. What is lakeFS? (00:02:49)

3. lakeFS vs. Git (00:05:18)

4. What is a Merkle Tree? (00:06:14)

5. What are some lakeFS use-cases? (00:08:06)

6. What data problems does lakeFS test? (00:18:47)

7. What types of customers or industries use lakeFS? (00:22:28)

8. lakeFS and Apache Kafka (00:23:28)

9. It's a wrap! (00:28:08)

265集单集

Artwork
icon分享
 
Manage episode 352916148 series 2355972
内容由Confluent, founded by the original creators of Apache Kafka® and Founded by the original creators of Apache Kafka®提供。所有播客内容(包括剧集、图形和播客描述)均由 Confluent, founded by the original creators of Apache Kafka® and Founded by the original creators of Apache Kafka® 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Is it possible to manage and test data like code? lakeFS is an open-source data version control tool that transforms object storage into Git-like repositories, offering teams a way to use the same workflows for code and data. In this episode, Kris sits down with guest Adi Polak, VP of DevX at Treeverse, to discuss how lakeFS can be used to facilitate better management and testing of data.
At its core, lakeFS provides teams with better data management. A theoretical data engineer on a large team runs a script to delete some data, but a bug in the script accidentally deletes a lot more data than intended. Application engineers can checkout the main branch, effectively erasing their mistakes, but without a tool like lakeFS, this data engineer would be in a lot of trouble.
Polak is quick to explain that lakeFS isn’t built on Git. The source code behind an application is usually a few dozen mega bytes, while lakeFS is designed to handle petabytes of data; however, it does use Git-like semantics to create and access versions so adoption is quick and simple.
Another big challenge that lakeFS helps teams tackle is reproducibility. Troubleshooting when and where a corruption in the data first appeared can be a tricky task for a data engineer, when data is constantly updating. With lakeFS, engineers can refer to snapshots to see where the product was corrupted, and rollback to that exact state.
lakeFS also assists teams with reprocessing of historical data. With lakeFS data can be reprocessed on an isolated branch, before merging, to ensure the reprocessed data is exposed atomically. It also makes it easier to access the different versions of reprocessed data using any tag or a historical commit ID.
Tune in to hear more about the benefits of lakeFS.
EPISODE LINKS

  continue reading

章节

1. Intro (00:00:00)

2. What is lakeFS? (00:02:49)

3. lakeFS vs. Git (00:05:18)

4. What is a Merkle Tree? (00:06:14)

5. What are some lakeFS use-cases? (00:08:06)

6. What data problems does lakeFS test? (00:18:47)

7. What types of customers or industries use lakeFS? (00:22:28)

8. lakeFS and Apache Kafka (00:23:28)

9. It's a wrap! (00:28:08)

265集单集

Alla avsnitt

×
 
Loading …

欢迎使用Player FM

Player FM正在网上搜索高质量的播客,以便您现在享受。它是最好的播客应用程序,适用于安卓、iPhone和网络。注册以跨设备同步订阅。

 

快速参考指南

边探索边听这个节目
播放