Kunpeng BoostKit for Big Data
Kunpeng BoostKit for Big Data optimizes data processing for big data components, improves concurrent computing, and leverages the multi-core feature of the Kunpeng processors to provide you with excellent big data service performance.
Starting from Here
- What's New
Describes the latest updates in documents of Kunpeng BoostKit for Big Data.
- Feature List
Provides an overview of basic and application acceleration features.
- Technical White Paper
Describes the solution architecture, networking, typical configuration, and key features of Kunpeng BoostKit for Big Data.
- List of Fixed Vulnerabilities
Provides details about all fixed vulnerabilities in the feature and integrated platforms, components, libraries, and open source and third-party software.
Basic Acceleration Features
Application Acceleration Features
- OmniRuntime Features
OmniRuntime consists of a series of features provided by Kunpeng BoostKit for Big Data in terms of application acceleration. It aims to improve the performance of end-to-end data loading, computing, and exchange through plugins, thereby improving the performance of big data analytics.
- Machine Learning Algorithm Library
The machine learning algorithm library is compatible with native Spark APIs. It has optimized machine learning algorithms, greatly improving the computing performance in big data algorithm scenarios. This library supports the architecture of the Kunpeng processor.
Integration of Big Data Features with openEuler
Open Source Enablement
- Hadoop
Guide for Hadoop porting and deployment.
- Spark
Guide for porting, deployment, and tuning of Spark.
- Hive
Guide for porting, deployment, and tuning of Hive.
- HBase
Guide for porting, deployment, and tuning of HBase.
- Doris
Guide for Doris deployment and instruction optimization.
- ClickHouse
Guide for porting, deployment, and tuning of ClickHouse.
- Flink
Guide for porting, deployment, and tuning of Flink.
- Kafka
Guide for porting, deployment, and tuning of Kafka.
- ZooKeeper
Guide for ZooKeeper deployment.
- Storm
Guide for porting, deployment, and tuning of Storm.
- Phoenix
Guide for Phoenix porting.
- Druid
Guide for Druid porting.
- Solr
Guide for Solr deployment.
- ELK
Guide for porting, deployment, and tuning of Elasticsearch.
- Third-Party Dependency Libraries
Guide for porting third-party libraries for big data to a Kunpeng server to ensure compatibility and performance across various data processing, analytics, and software development tasks.
- Porting and Tuning Using the Kunpeng DevKit
Cases of using the Kunpeng Porting Advisor for porting and the Kunpeng System Profiler for tuning.