EBIGs

The Optimal Solution for Building and
Operating Your Big Data Systems

When it comes to Big Data Systems, EBIGs allows you to quickly resolve issues related to configuration, security, and operation.
Moreover, it minimizes the burden of system management by providing a consistent and secure platform for monitoring and
operating the Apache Hadoop Ecosystem.

System Configuration through Compatibility Verification
Operation Management Solution using Domestically Developed Technology
Effective Cost Savings
Provide Reliable Technical Support

Features

EBIGs consist of an open-source Apache Hadoop ecosystem that has been built through self-compatibility verification, and a big data management platform that enables monitoring and operation.

Big Data System
Configuration Management

Hadoop cluster host
and service management
Big Data System
Performance Management

Tuning and history management
for each service
Data Collection and Error Detection

Workflow error detection
and historical review
Hadoop Security Configuration

Managing security policies
through permission settings
Real-time Monitoring

Real-time monitoring of
Hadoop services and resources
HDFS Browsing

Create/edit/delete
big data directories and files
Hive Workspace

Provide Hive database
management and query editor
Status Alarm

Service and threshold status alarms

Monitoring Views

Dashboard

This is a dedicated screen for the integrated monitoring of the Hadoop Cluster. EBIGs offers visualization for the Apache Hadoop EcoSystem, allowing users to monitor server, service, and node statuses while intuitively grasping key indicators of the Hadoop Cluster. Additionally, it provides a 3D dashboard for Hadoop Cluster Nodes.

· Resource/Node Manager, NameNode, HDFS, Hive, YARN, etc.

HDFS Monitoring

EBIGs provides dedicated HDFS monitoring, visualizing key indicators and performance metrics of the Hadoop Cluster. You can easily monitor Namenode's important metrics such as JVM Heap, GC, Active Namenode, HDFS Capacity, and Block Status. Additionally, HDFS Browser Audit allows users to trace and download work history.

Yarn Monitoring

Yarn Monitoring is useful when you want to understand key information such as summary and log about Yarn. EBIGs provides visualization for the performance and status of Hadoop Cluster, checks usage of Yarn Cluster, and displays execution history, making it easy to monitor applications.

Resource Monitoring

EBIGs maximizes resource availability by monitoring the real-time usage of various resources across the nodes that make up the Hadoop Cluster. All indicators of the Hadoop Cluster are collected in real-time, allowing you to easily check the current resource status.

Service List

EBIGs offers management capabilities for the Apache Hadoop ecosystem, allowing users to configure the system optimally by modifying and distributing the settings of each service. The web UI also provides access to execution history, making it easy to operate the ecosystem with its numerous installed services.

Analysis Views

Hive Editor

EBIGs offers Hive Metastore for seamless data management. With Zeppelin, users can effortlessly utilize Hadoop data similar to RDBMS. You can manage and analyze tables and databases while conveniently visualizing inquiry data.

In-memory Analysis

Spark-notebook accelerates analysis work by enabling data input from various sources and leveraging distributed processing in a cluster environment. EBIGs integrates Python with machine learning and graph algorithms for enhanced capabilities.

Architecture

Customer Cases

Public

Big Data Integration Platform

Adoption Background

There is a need for building a big data integration platform for economic revitalization and efficient data management and utilization.

Benefits

• Building big data platform infrastructure based on Apache Hadoop.

• Success in building a data hub that provides integrated data on the region.

• Provide services such as web and visualization by utilizing big data stored through EBIGs.
Electricity

Power Disaster
Recovery System

Adoption Background

Establishment of a future-oriented Disaster Recovery System (DRS) to secure business continuity for core business systems and configure a mutual backup system.

Benefits

• Building a disaster recovery system using EBIGs.

• Configuration of real-time data replication environment that guarantees data integrity and consistency.
ICT

Building a
Master Platform

Adoption Background

Establishment of a system for efficient data management and analysis of each affiliate.

Benefits

• Building big data platform infrastructure based on Apache Hadoop.

• Building data governance through data standardization.