(impala) branch master updated: IMPALA-12618: Update README.md to reduce emphasis on Hadoop

[mi...@apache.org]

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michaelsmith pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/impala.git


The following commit(s) were added to refs/heads/master by this push:
     new 1789866db IMPALA-12618: Update README.md to reduce emphasis on Hadoop
1789866db is described below

commit 1789866db1bc0ae8b82fa9811adec40d2ce69b56
Author: Andrew Sherman <as...@cloudera.com>
AuthorDate: Tue Dec 12 17:44:45 2023 -0800

    IMPALA-12618: Update README.md to reduce emphasis on Hadoop
    
    The README.md file is displayed on the github home page
    https://github.com/apache/impala Change this so that the opening line
    mentions “data stored in open data and table formats” instead of “data
    stored in Apache Hadoop clusters“. Also add Iceberg as the first
    mentioned place where data can be stored.
    
    Change-Id: I35e91611374f20ec6a540d4c3bf5ae375ac38bce
    Reviewed-on: http://gerrit.cloudera.org:8080/20783
    Reviewed-by: Quanlong Huang <hu...@gmail.com>
    Tested-by: Michael Smith <mi...@cloudera.com>
---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 1bafa7808..c844924d0 100644
--- a/README.md
+++ b/README.md
@@ -1,13 +1,13 @@
 # Welcome to Impala
 
 Lightning-fast, distributed [SQL](https://en.wikipedia.org/wiki/SQL) queries for petabytes
-of data stored in Apache Hadoop clusters.
+of data stored in open data and table formats.
 
 Impala is a modern, massively-distributed, massively-parallel, C++ query engine that lets
 you analyze, transform and combine data from a variety of data sources:
 
 * Best of breed performance and scalability.
-* Support for data stored in [HDFS](https://hadoop.apache.org/),
+* Support for data stored in [Apache Iceberg](https://iceberg.apache.org/), [HDFS](https://hadoop.apache.org/),
   [Apache HBase](https://hbase.apache.org/), [Apache Kudu](https://kudu.apache.org/),
   [Amazon S3](https://aws.amazon.com/s3/),
   [Azure Data Lake Storage](https://azure.microsoft.com/en-us/services/storage/data-lake-storage/),