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commit c5262a74f4c46107ebd8ea94545a067efb784ab8 Author: Liang Chen <[email protected]> AuthorDate: Thu Jan 1 14:41:06 2026 +0800 Revise README --- README.md | 20 +++++++++----------- 1 file changed, 9 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 7c0a4e9855..6a5f5fd3b1 100644 --- a/README.md +++ b/README.md @@ -16,6 +16,12 @@ --> <img src="/docs/images/CarbonData_logo.png" width="200" height="40"> + +- Apache CarbonData is an indexed columnar data store solution for fast analytics on big data platform, e.g. Apache Hadoop, Apache Spark, etc. +You can find the latest CarbonData document and learn more at: +[https://carbondata.apache.org](https://carbondata.apache.org/) + +[CarbonData cwiki](https://cwiki.apache.org/confluence/display/CARBONDATA/) - AI-native data storage for CarbonData's new scope, In AI projects, data scientists and engineers spend 80% of their time on data preparation. Traditional storage presents numerous bottlenecks in this process: - Data silos: Training data may be scattered across data lakes, data warehouses, file systems, object storage, and other locations, making integration difficult. @@ -25,13 +31,6 @@ - Lack of metadata management: The lack of effective management of rich metadata such as data versions, lineage, annotation information, and experimental parameters leads to poor experimental reproducibility. - Vectorization requirements: Modern AI models (such as large language models) convert all data into vector embeddings. Traditional storage cannot efficiently store and retrieve high-dimensional vectors. - -- In the previous releases Apache CarbonData is an indexed columnar data store solution for fast analytics on big data platform, e.g. Apache Hadoop, Apache Spark, etc. -You can find the latest CarbonData document and learn more at: -[https://carbondata.apache.org](https://carbondata.apache.org/) - -[CarbonData cwiki](https://cwiki.apache.org/confluence/display/CARBONDATA/) - ## Status Spark2.4: [](https://coveralls.io/github/apache/carbondata?branch=master) @@ -40,6 +39,9 @@ Spark2.4: src="https://scan.coverity.com/projects/13444/badge.svg"/> </a> +## Contributor Wall of Fame +[](https://github.com/apache/carbondata/graphs/contributors) + ## Features CarbonData file format is a columnar store in HDFS, it has many features that a modern columnar format has, such as splittable, compression schema, complex data type etc, and CarbonData has following unique features: * Stores data along with index: it can significantly accelerate query performance and reduces the I/O scans and CPU resources, where there are filters in the query. CarbonData index consists of multiple level of indices, a processing framework can leverage this index to reduce the task it needs to schedule and process, and it can also do skip scan in more finer grain unit (called blocklet) in task side scanning instead of scanning the whole file. @@ -94,10 +96,6 @@ Some features are marked as experimental because the syntax/implementation might * [Apache CarbonData meetup material](https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=66850609) * [Use Case Articles](https://cwiki.apache.org/confluence/display/CARBONDATA/CarbonData+Articles) -## Contributor Wall of Fame - -[](https://github.com/apache/carbondata/graphs/contributors) - ## Fork and Contribute This is an active open source project for everyone, and we are always open to people who want to use this system or contribute to it. This guide document introduces [how to contribute to CarbonData](https://github.com/apache/carbondata/blob/master/docs/how-to-contribute-to-apache-carbondata.md).
![https://scan.coverity.com/projects/13444/badge.svg"/](https://scan.coverity.com/projects/13444/badge.svg"/){kind=link}