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SOLUTION

Distributed Query Engine
TERESA dQE

A distributed query engine solution that can connect, integrate and
manage various types of data sources such as RDB, NoSQL, and HDFS.
Performs queries by integrating various types of heterogeneous data sources through easy connection and supports efficient processing through distributed processing.

Main Functions
Distributed Query Engine Solution that enables fast
and accurate massive data processing
TERESA dQE enables efficient processing of massive data using distributed processing,
and monitoring of distributed query execution plans and query performance indicators.
Through monitoring, it supports more optimized performance of queries even for massive data.
Need for introduction of TERESA dQE
Companies that have various DBs
[As-Is] Current issues
  • Companies that require massive data processing
  • Companies that require integration of various data sources
  • Companies that require data analysis in real-time
[To-Be] Solutions
  • Parallel processing through Node expansion enables efficient query execution for massive data.
  • Various types of heterogeneous data of such as RDB and NoSQL can be integrated and processed in one system.
  • You can monitor distributed query execution plans and query performance indicators, and perform massive data processing with optimized performance through monitoring.
Companies that want to analyze data
[As-Is] Current issues
  • Companies that do not know how to analyze massive data
  • Companies that want to make data-based decisions
  • Companies that want to retrieve and check only the necessary data
[To-Be] Solutions
  • In a data lake environment where large amounts of raw data can be stored and analyzed, it combines data from multiple sources with a distributed query engine and enables real-time analysis.
  • Analyzes large data sets to derive business insights and support data-based decision-making.
  • Efficiently handles complex SQL queries, join aggregations, etc.
Expected Effects
TERESA dQE enables data integration
and management through connection expansion
Configures an optimized broker environment according
to the usage environment and supports integrated management of the entire data collection, loading,
and linking pipeline including the existing environment
by linking the data collection/processing environment previously used by the user.

  • 01

    Connection of various
    data sources

  • 02

    Distributed processing
    of massive of data

  • 03

    Simple expansion

  • 04

    Optimization of
    resource utilization

Tangible improvement effects
Intangible improvement effects
  • 1Support for real-time data analysis
    and decision through high-speed data processing
  • 2Reduction of ETL process cost through efficient use
    of resources
  • 3A system can be expanded through additional nodes,
    allowing data processing without performance degradation
Main applications
In-Memory based solution that provides big data analysis environment
by integrating heterogeneous data sources
TERESA dQE is a distributed query engine solution that can be applied not only to manufacturing but also
to relevant industries including social media.
Make digital transformation a reality through efficient data management in various relevant industries.

  • E-commerce

  • Financial services

  • Healthcare

  • Social media

  • Advertising
    technology

  • Game industry

  • Telecommunications

  • Manufacturing

  • Energy and utilities

Contact us for customized solutions for each field