Search and Analysis
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Search and Analysis

Elasticserach provides integrated technical services.

Why We Do

More and more companies are introducing Elasticsearch to increase the efficiency of big data storage and analysis.

  • Rapidly increasing data due to new technology development
    Rapidly increasing data due to new technology development
    New technologies such as AI, Cloud, IoT, and blockchain are accelerating digital transformation. This means the skyrocketing unstructured and real-time data different from before. Discovery of meaning from a wide variety of large data and application of it to run the business and develop strategies has become a fundamental competency for companies.
  • big data platform
    Increasing demand for a big data platform
    There is a limit to store and analyze large-scale unstructured and real-time data with legacy systems. Companies start to focus on the latest platforms that can efficiently store and analyze data in real time, especially paying attention to open source-based big data platforms as an outcome of technological innovation.
  • Anxiety about insufficient big data experience and introduction of OSS
    Anxiety about insufficient big data experience and introduction of OSS
    Unexpectedly, many companies hesitate to introduce an open source-based big data platform. Such hesitation stems from the lack of big data experience and lack of external technical support. But global leading players are already applying open-source-based big data platforms for decision making, and expanding their investments by organizing a dedicated team, regarding them as a tool for competitiveness reinforcement.
Product Introduction

Data platform for search, integrated monitoring and security (high speed DBMS)

Strength
  • Real-time collection and analysis of tera to peta data
    · It is a platform that collects and analyzes hundreds to thousands of large amount of data per second in real time and processes thousands to ten thousands of queries per second for visualization.
    · It supports distributed processing, high availability, easy scale-out, development-friendly REST APIs, and full-text search. All components are designed on a scale-out structure to maintain performance through server (node) expansion.
  • All forms of data processing
    · Real-time query and analysis are possible by automatically indexing all data, including structured and unstructured data.
    · You can quickly get query results by storing various data types (Number, Log, Metric, Geolocation, Text, Date, etc.) using the best compression technology available.
  • Organic combination and analysis of data
    · Data is organically combined, analyzed and visualized to quickly gain new insights. It can be used for business analysis, risk analysis, real-time transaction monitoring, traffic analysis, log analysis, trend analysis, security log analysis, and APM.
Customer Case

Reduced TCO and established a flexible architecture-based search system

– A global electronic part manufacturer

Challenges
Company A, a global electronic part manufacturer, was in trouble due the deterioration of its in-house document search system. Search services built with commercial solutions couldn’t respond quickly to the needs of employees due to their inflexible architecture and frequent failures. The company needed an optimal architecture and index design to handle large data at high speed, and a quick response to resolve actual operational failures.

S-Core Services
Company A selected Elastic Stack as a search platform and started to fully replace the systems to solve the issues. We suggested the S-Core’s Elastic Stack one-stop package service for handling the various possible obstacles while operating the system, as well as for providing the optimal architecture and index design for large data. We successfully completed the project based on the S-Core’s stable and optimized design and contributed to Company A’s technology improvement by providing services such as regular inspections and knowledgeable DB

Company A has gained the following advantages through the transformation and deployment of systems based on Elastic Stack.

Quantitative effect
– Reduced TCO through open source products

Qualitative effect
– Established internal document search system that can flexibly respond to a variety of changes

Insight Report

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