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Changes in data recognition & technology paradigm

Big data” – the term refers to new technologies that started appearing in 2010 when there was a sudden increase in the demand for storing and processing large-scale data.

Big data refers to a huge data collection or a system for storing, transmitting, and processing data. As the Fourth Industrial Revolution has approached, a paradigm shift towards the ‘Data Economy’ is underway, in which data serves as a catalyst for the growth of all industries and the production of new values. Developed countries are striving to achieve rebound and innovative development of their flagship industries by combining AI and big data for sustainable growth and job creation.

Recently, AI (artificial intelligence) technology has gained a lot of attention as an innovation in technological data – technology is now gradually replacing tasks, such as preprocessing information or providing problem-solving logic from the available data, which is inherent to data scientists. Along with the rapid development of AI technology, data and technology are integrated to foster a new paradigm inflection point. This also induces changes in economic systems and social structure, establishing a new paradigm of the new intelligence information society.

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< Paradigm changes in intelligence information society >

Insight on product innovation based on market changes

Since its founding, Saltlux has established a systematic roadmap for technological development through insightful prior predictions. We have secured many unique AI technologies, such as natural language processing, semantics, and reasoning. Besides semantic search and text mining, Saltlux has developed various smart data products and platforms with extraordinary performance and functionality, combining big data-based machine learning, deep learning, and knowledge graph-based reasoning.

Based on the value chain of the data ecosystem (data collection, storage, distribution, and utilization), which is the guideline of the intelligence information society, Saltlux proudly introduced Bigdata Suite. It can not only analyze traditional data but also solve problems at the expert level, make data-driven decisions, accumulate knowledge, and create economic values (new products, services, jobs, etc.) through the supply brokerage-demand market.

As an End-to-End One-stop intelligent real-time big data analysis integration platform that contributes to the data economy and data science in the Fourth Industrial Revolution era, Bigdata Suite constantly achieves growth through a systematic development management process. With product quality and reliable validation, we maintain a wide delivery history to various public institutions, companies, and research institutes both domestically and abroad. It ensures reliability with quality validation and a strict production management system.

Saltlux Bigdata Suite offers the following 6 engines.

Collection Engine

Semantic search Engine

Text mining Engine

Stream analysis Engine

Recognition analysis Engine

Visual analysis Engine


Bigdata Suite provides excellent performance and analysis quality for structured and non-structured big data convergence analysis. Besides semantic search/analysis, enterprise, and public big data intellectualization, we also offer real-time analysis and big data streaming prediction functions. These include IoT sensors, production, and operating system logs through platforms. Bigdata Suite is an ideal platform for smart data and the implementation of next-generation IT systems, such as IoT service intelligence and operational intelligence.


< Bigdata Suite concept map >

Saltlux has the best platform to cover the Big Data Analytics Value Chain, which ranges from collecting, converting, analyzing, and visualizing big data to decision-making support, as shown in the following figure. It is integrated with key foundational technologies, such as natural language processing (NLP), artificial intelligence technology, machine learning, machine learning, deep learning, inference technology, and distributed parallel processing. As a result, it offers users a step-by-step engine that spans the entire big data lifecycle and various analytics and visualization capabilities.

Additionally, it can be flexibly combined with the Hadoop Eco-System big data platform to create an optimal intelligent analysis platform. It can integrate the Opensource HADOOP ECO System’s system modules, such as SPARK (an in-memory map reduction engine), STORM (processing real-time stream data), and UIMA framework. Bigdata Suite has all the functions needed, such as collection, storage, search, parallel/dispersion analysis, and visualization of real-time data with supersized capacity in one integrated platform, supporting powerful Scale-out and Scale-up capacity.


< Bigdata Suite block diagram >

Main Functions

Bigdata Suite combines various artificial intelligence technologies, including natural language processing, machine learning, and deep learning, with highly efficient distributed parallel big data processing technology. It also provides big data life cycle features, ranging from collection, conversion storage, analysis to visualization operative management of real-time data collection, as shown in the figure below. Furthermore, Bigdata Suite offers unmatched reliability and availability for intelligent big data analysis, as well as various powerful and differentiated intelligent analysis features with high-quality analysis results for users.


Main Features

The engines that reflect Big Data Suite’s key technologies are manufactured to effectively handle the data that traditional methods struggle with, in terms of size, variety, speed, and value. They are cost-effective when it comes to data processing, analysis, and presentation. They are able to establish economic values (new products, services, jobs, etc.) for users through the data-driven market based on the data ecosystem’s value chain (collection, storage, distribution, and utilization of data).


Main Competitiveness

Bigdata Suite, Intelligent Real-Time Big Data Analytics Integration Platform, is manufactured for the first time in Korea and integrates with artificial intelligence technology (deep learning) and big data technology (machine learning). It is an AI-based End-to-End One-stop real-time big data analytics integration platform that carries out intelligent big data analysis in all industries without the Hadoop ecosystem integration.


Big Data Technology introduction

Bigdata Suite products cover the entire big data life cycle, ranging from real-time data collection, storage, retrieval, analysis, to visualization. Big data suite products are made up of key technologies shown below.


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