HPCC Database
HPCC Systems (High-Performance Computing Cluster) is an open-source big data computing platform developed by LexisNexis Risk Solutions.
- Since:2008
- Discord:@3Fb3s7s
- Dockerhub:platform-core
- Github Topic:hpcc
- Official:hpccsystems.com
- Reddit:r/hpcc
- Repository:github.com
- StackOverflow:[hpcc]
- Twitter:@hpccsystems
- Wikipedia:HPCC_Systems
#What is HPCC?
HPCC (High-Performance Computing Cluster) is an open-source data-intensive computing system used for big data processing. It is designed to handle the heavy workloads of big data, analytics, and business intelligence applications. HPCC provides a high-level abstraction to manage the complexities of distributed computing, data processing, and data storage.
#HPCC Key Features
Here are the six most recognizable features of HPCC:
- Distributed architecture: HPCC’s distributed architecture allows it to scale horizontally by adding new nodes to the cluster as data and processing needs grow.
- Data transformation: HPCC provides a powerful data transformation tool, called ECL (Enterprise Control Language), which allows users to define data structures and transformations on a large scale.
- Data management: HPCC manages data through its Distributed File System (DFS), which is optimized for big data processing.
- Real-time data processing: HPCC has built-in support for real-time data processing, which allows it to process data as it is generated.
- Analytics: HPCC supports advanced analytics, including machine learning and predictive modeling, to extract insights from large data sets.
- Data integration: HPCC provides integration with various data sources, including Hadoop, to allow users to access data from multiple sources.
#HPCC Use-Cases
Here are the six most common use-cases for HPCC:
- Big data processing: HPCC is ideal for processing large volumes of data in parallel and at scale.
- Business intelligence: HPCC can be used to extract insights and support decision-making in businesses.
- Fraud detection: HPCC can be used to detect fraud in real-time by analyzing data streams.
- Scientific research: HPCC can be used in scientific research to process large data sets, such as genomic data.
- Internet of Things: HPCC can be used to process data generated by IoT devices in real-time.
- Government: HPCC can be used in government applications, such as tracking and analyzing population health data.
#HPCC Summary
HPCC is an open-source, data-intensive computing system that provides distributed architecture, data transformation, data management, real-time data processing, analytics, and data integration. It is commonly used for big data processing, business intelligence, fraud detection, scientific research, IoT, and government applications.