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docs: use blogs links
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nopcoder committed Oct 25, 2023
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2 changes: 1 addition & 1 deletion docs/integrations/delta.md
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Expand Up @@ -105,7 +105,7 @@ If you are trying to achieve that, please reach out on Slack and the community w

## Further Reading

See [Guaranteeing Consistency in Your Delta Lake Tables With lakeFS](https://lakefs.io/guarantee-consistency-in-your-delta-lake-tables-with-lakefs/) post on the lakeFS blog to learn how to
See [Guaranteeing Consistency in Your Delta Lake Tables With lakeFS](https://lakefs.io/blog/guarantee-consistency-in-your-delta-lake-tables-with-lakefs/) post on the lakeFS blog to learn how to
guarantee data quality in a Delta table by utilizing lakeFS branches.


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4 changes: 2 additions & 2 deletions docs/understand/faq.md
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Expand Up @@ -12,7 +12,7 @@ redirect_from:
lakeFS is completely free, open-source, and licensed under the [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) License. We maintain a public [product roadmap][roadmap] and a [Slack channel](https://lakefs.io/slack) for open discussions.

### 2. How does lakeFS data versioning work?
lakeFS uses a copy-on-write mechanism to avoid data duplication. For example, creating a new branch is a metadata-only operation: no objects are actually copied. Only when an object changes does lakeFS create another [version of the data](https://lakefs.io/data-versioning/) in the storage. For more information, see [Versioning internals]({% link understand/how/versioning-internals.md %}).
lakeFS uses a copy-on-write mechanism to avoid data duplication. For example, creating a new branch is a metadata-only operation: no objects are actually copied. Only when an object changes does lakeFS create another [version of the data](https://lakefs.io/blog/data-versioning/) in the storage. For more information, see [Versioning internals]({% link understand/how/versioning-internals.md %}).

### 3. How do I get support for my lakeFS installation?
We are extremely responsive on our Slack channel, and we make sure to prioritize the most pressing issues for the community. For SLA-based support, please contact us at [support@treeverse.io](mailto:support@treeverse.io).
Expand All @@ -29,7 +29,7 @@ The data we gather is limited to the following:
1. Periodic aggregated action counters (e.g. how many "get_object" operations occurred).

### 5. How is lakeFS different from Delta Lake / Hudi / Iceberg?
Delta Lake, Apache Hudi, and Apache Iceberg all define dedicated, structured data formats that allow deletes and upserts. lakeFS is format-agnostic and enables consistent cross-collection versioning of your data using Git-like operations. Read our [comparison](https://lakefs.io/hudi-iceberg-and-delta-lake-data-lake-table-formats-compared/) for a more detailed comparison.
Delta Lake, Apache Hudi, and Apache Iceberg all define dedicated, structured data formats that allow deletes and upserts. lakeFS is format-agnostic and enables consistent cross-collection versioning of your data using Git-like operations. Read our [comparison](https://lakefs.io/blog/hudi-iceberg-and-delta-lake-data-lake-table-formats-compared/) for a more detailed comparison.

### 6. What inspired the lakeFS logo?
The [Axolotl](https://en.wikipedia.org/wiki/Axolotl){:target="_blank"} – a species of salamander, also known as the Mexican Lake Monster or the Peter Pan of the animal kingdom. It's a magical creature, living in a lake - just like us! :)
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2 changes: 1 addition & 1 deletion docs/understand/model.md
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Expand Up @@ -29,7 +29,7 @@ lakeFS is spearheading version control semantics for data. Most of these concept

### Repository

In lakeFS, a _repository_ is a set of related objects (or collections of objects). In many cases, these represent tables of [various formats](https://lakefs.io/hudi-iceberg-and-delta-lake-data-lake-table-formats-compared/){:target="_blank"} for tabular data, semi-structured data such as JSON or log files - or a set of unstructured objects such as images, videos, sensor data, etc.
In lakeFS, a _repository_ is a set of related objects (or collections of objects). In many cases, these represent tables of [various formats](https://lakefs.io/blog/hudi-iceberg-and-delta-lake-data-lake-table-formats-compared/){:target="_blank"} for tabular data, semi-structured data such as JSON or log files - or a set of unstructured objects such as images, videos, sensor data, etc.

lakeFS represents repositories as a logical namespace used to group together objects, branches, and commits - analogous to a repository in Git.

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