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commit bc405e6801e74cf2cd6e899a9f01c952be4e8f44
Author: Kyle Weller <[email protected]>
AuthorDate: Wed Feb 28 21:41:17 2024 -0800

    updated README
---
 README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 12e10715..adbf730e 100644
--- a/README.md
+++ b/README.md
@@ -1,15 +1,15 @@
-# OneTable
+# XTable
 
 [![Build 
Status](https://dev.azure.com/apache-xtable-ci-org/apache-xtable-ci/_apis/build/status%2Fapachextable-ci.xtable-mirror?branchName=main)](https://dev.azure.com/apache-xtable-ci-org/apache-xtable-ci/_build/latest?definitionId=2&branchName=main)
 
-OneTable is an omni-directional converter for table formats that facilitates 
interoperability across data processing systems
+XTable is a cross-table converter for table formats that facilitates 
omni-directional interoperability across data processing systems
 and query engines.
-Currently, OneTable supports widely adopted open-source table formats such as 
Apache Hudi, Apache Iceberg, and Delta Lake.
+Currently, XTable supports widely adopted open-source table formats such as 
Apache Hudi, Apache Iceberg, and Delta Lake.
 
-OneTable simplifies data lake operations by leveraging a common model for 
table representation.
+XTable simplifies data lake operations by leveraging a common model for table 
representation.
 This allows users to write data in one format while still benefiting from 
integrations and features available in other
 formats.
-For instance, OneTable enables existing Hudi users to seamlessly work with 
Databricks's Photon Engine or query Iceberg
+For instance, XTable enables existing Hudi users to seamlessly work with 
Databricks's Photon Engine or query Iceberg
 tables with Snowflake.
 Creating transformations from one format to another is straightforward and 
only requires the implementation of a few interfaces,
 which we believe will facilitate the expansion of supported source and target 
formats in the future.

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