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Macafee Check : 
Email address with lakefs.io
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Domain Informations
Lakefs.io lookup results from whois.registrar.amazon server:
- Domain created: 2020-02-18T20:36:55Z
- Domain updated: 2026-04-29T22:34:09Z
- Domain expires: 2028-02-18T20:36:55Z 1 Year, 211 Days left
- Website age: 6 Years, 153 Days
- Registrar Domain ID: REDACTED
- Registrar Url: http://registrar.amazon.com
- Registrar WHOIS Server: whois.registrar.amazon
- Registrar Abuse Contact Email: [email protected]
- Registrar Abuse Contact Phone: +1.2024422253
- Name server:
- ns-1252.awsdns-28.org
- ns-1629.awsdns-11.co.uk
- ns-542.awsdns-03.net
- ns-390.awsdns-48.com
Network
- inetnum : 199.16.172.0 - 199.16.175.255
- name : PRESSABLE
- handle : NET-199-16-172-0-1
- status : Direct Allocation
- created : 2018-04-27
- changed : 2025-07-15
- desc : Geofeed https://as2635.network/geofeed.csv
Owner
- organization : Pressable
- handle : PRESS-17
- address : Array,Austin,TX,78754,US
Technical support
- handle : PRESS34-ARIN
- name : Pressable IPADMIN
- phone : +1-888-947-7943
- email : [email protected]
Abuse
- handle : PRESS34-ARIN
- name : Pressable IPADMIN
- phone : +1-888-947-7943
- email : [email protected]
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Host Informations
| Host name | 199.16.172.87 |
| IP address | 199.16.172.87 |
| Location | United States |
| Latitude | 37.751 |
| Longitude | -97.822 |
| Timezone | America/Chicago |
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Overview & More informations
LakeFS is the open-source data lake that brings the power of Git to data management. It enables data engineers and data scientists to collaborate on data in a secure and efficient way, making it easier to build and maintain data pipelines.
With LakeFS, data is stored in a Git-like repository, which allows for version control, branching, and merging. This makes it easy to track changes to data over time and to roll back to previous versions if necessary. LakeFS also provides a web-based interface that makes it easy to browse and manage data, as well as to create and manage access controls.
One of the key benefits of LakeFS is that it allows data engineers and data scientists to work together on data in a more collaborative way. With traditional data lakes, data is often stored in a central repository that is difficult to access and manage. This can make it difficult for data engineers and data scientists to collaborate on data, as they may have different permissions and access levels.
LakeFS solves this problem by providing a central repository that is accessible to all data engineers and data scientists. This makes it easy for them to share data and collaborate on projects. LakeFS also provides a number of features that make it easy to manage access controls, so that data engineers and data scientists can only access the data that they need.
Here are some of the key features of LakeFS:
- Git-like version control for data
- Branching and merging for data
- Web-based interface for easy data management
- Access controls for data
LakeFS is a powerful tool that can help data engineers and data scientists to collaborate on data in a more efficient and secure way. It is an open-source project that is available on GitHub.
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