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The Huawei intelligent data solution provides an enterprise-class platform for big data integration, storage, search, and analysis as well as AI. This platform allows enterprises to quickly process massive sets of data, and helps enterprises capture opportunities and discover risks by analyzing and mining data in a real-time or non-real-time manner.
Up to May 2019, the Huawei intelligent data solution has been trusted by more than 1500 customers from over 60 countries. Huawei has more than 500 business partners to provide solutions widely used in industries including finance, telecom, government, energy, healthcare, manufacturing, and transportation.
Huawei FusionInsight offers an enterprise-class distributed Big Data solution. Huawei FusionInsight supports a wide range of functions including offline analytics, interactive queries, full-text searches, and real-time stream processing. It provides reliable, secure, and easy-to-use cluster management. It also supports the following O&M functions for large-scale clusters: installation, deployment, monitoring, alarming, user management, permission management, auditing, service management, health check, demarcation, upgrading, and patching.
HDFS
Provides data access with high throughput; can process large-scale data sets.
Yarn
As the resource management system of Hadoop 2.0, Yarn implements resource management and scheduling for applications.
Spark
An in-memory distributed computing framework.
Elk
Provides standard SQL engine and enables conventional applications to be smoothly migrated to the Big Data platform.
MapReduce
A distributed computing engine supporting massive offline batch processing.
Flink
A unified computing framework for batch and stream processing and stream processing. At its core is a stream processing engine that supports data distribution and parallel computing.
Storm
A distributed, reliable, and fault-tolerant real-time stream data processing system. It provides SQL-like query languages (StreamCQL).
Solr
An independent, enterprise-class application search server based on Apache Lucene.
Kafka
A distributed, partitioned message release-subscription system with multiple copies.
Loader
Exchanges data and files between FusionInsight, relational databases, and file systems.
HBase
A column-oriented distributed storage system suitable for mass unstructured or semi-structured data that provides high availability, performance, and scalability. HBase supports real-time data read and write.
Flume
A distributed mass log collection, aggregation, and transmission system that provides high availability and reliability.
GaussDBHuawei GaussDB integrates AI technology into the database kernel architecture and algorithms, providing users distributed databases with higher performance, higher availability, and more diverse computing power.
Data is collected and analyzed in real time, and analysis results are provided in a timely manner. Capable of rapidly processing data from diverse sources at high throughput, real-time processing applies to anti-fraud monitoring, real-time security surveillance, and other scenarios.
Interactive analysis and query have demanding requirements on response time and involve massive sets of data. Data used for interactive query is usually pre-processed based on data models suitable to the task. Interactive query includes precise query, ad hoc query, theme analysis, and other tasks.
Huawei’s Private Cloud Solution focuses on key industries, such as public security, carrier, government, and finance to develop private cloud markets. Based on the private cloud, the FusionBridge hybrid cloud solution diverts services from the private cloud to the public cloud to implement hybrid cloud deployment.
Massive sets of data are analyzed and processed, and the results are provided for later use. Offline processing jobs do not have intense requirements on processing time, but the data to be processed is in diverse formats and often reaches petabyte-scale. Offline processing frequently involves multiple MapReduce, Spark, Hive, and Spark SQL jobs and applies to data preprocessing and offline analysis in the finance, carrier, public security, and many other sectors.
Data is collected and analyzed in real time, and analysis results are provided in a timely manner. Capable of rapidly processing data from diverse sources at high throughput, real-time processing applies to anti-fraud monitoring, real-time security surveillance, and other scenarios.
Interactive analysis and query have demanding requirements on response time and involve massive sets of data. Data used for interactive query is usually pre-processed based on data models suitable to the task. Interactive query includes precise query, ad hoc query, theme analysis, and other tasks.
Huawei’s Private Cloud Solution focuses on key industries, such as public security, carrier, government, and finance to develop private cloud markets. Based on the private cloud, the FusionBridge hybrid cloud solution diverts services from the private cloud to the public cloud to implement hybrid cloud deployment.
Massive sets of data are analyzed and processed, and the results are provided for later use. Offline processing jobs do not have intense requirements on processing time, but the data to be processed is in diverse formats and often reaches petabyte-scale. Offline processing frequently involves multiple MapReduce, Spark, Hive, and Spark SQL jobs and applies to data preprocessing and offline analysis in the finance, carrier, public security, and many other sectors.
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