Big data analysis platform for public institutions released as open source
Hadoop-based distributed parallel processing, with an intuitive GUI as an advantage.

Big data is no longer an unfamiliar term. Beyond the government and public sectors, the amount of data generated by individuals in real-time is increasing exponentially. How this growing data is collected and analyzed determines the value of big data.

To analyze big data, a big data platform—an IT environment necessary to process and analyze diverse collected data to extract knowledge and provide intelligent services based on it—and experts are required.

Onycom (www.onycom.com) is a company that provides solutions and services for big data, the Internet of Things, and cloud computing. Recently, it released 'Anchors Analyzer G,' a big data analysis platform for public institutions, as open source. Anchors is divided into an open-source version managed by the community and a commercial version managed by Onycom.

Anchors Analyzer G is a web-based data mining solution developed using the analysis library of the open-source development project 'Anchors'. It functions properly on five major web browsers, including Internet Explorer, Firefox, Chrome, Safari, and Opera. As long as you have a browser, there are no issues with accessing and using it. It is publicly available, allows for the addition of user algorithms, and can be used without any development elements such as separate coding. Since it supports the application of workflow models and service APIs, it is easy to implement prediction models, analysis models, and the like.

Lee Seong-jun, Director at Honeycomb, stated, “The role of Anchors is to provide a blueprint as an analysis platform. It is to concretize goals using this blueprint.” He added, “It is only natural that a program with guidance achieves its goals quickly. Our goal is to provide guidance so that complex projects can be executed rapidly within the timeframe.”

Anchors Analyzer supports distributed parallel processing of big data based on Hadoop MapReduce. Furthermore, it enables high-dimensional intelligent predictive analysis based on data mining and machine learning. Accordingly, it allows for easy analysis design through a convenient and intuitive GUI.

Furthermore, while existing analysis tools rely solely on algorithms provided by the tool, Anchors Analyzer G enables data analysis by adding user-developed algorithms or open-source algorithms such as Weka. Preprocessing tasks to handle input data and postprocessing tasks to process analysis algorithm results can also be added.

It supports the analysis of structured and unstructured data and can be utilized for batch analysis of large-scale data. It can also be used to build machine learning-based intelligent platforms and as a real-time sensor/machine data analysis platform. Updates are also scheduled to include the development and application of integration modules for Python, Spark, etc., the development of machine learning/deep learning algorithms, and the disclosure of technology integration with copyright holders.

The entire source code for Anchors Analyzer G is available on GitHub, and the algorithm can also be downloaded from GitHub and used by linking it.

Honeycomb not only establishes source code utilization systems and conducts monthly training on predictive model building and service application, but also provides consulting services covering analysis, design, implementation, testing, and stabilization.