IoTSuite/DataInsight (Data Integration and Analysis Service)

IoTSuite/DataInsight (Data Integration and Analysis Service)
IoTSuite/DataInsight (Data Integration and Analysis Service)

製品情報

WISE-IoTSuite/DataInsight assists enterprises in establishing a multi-dimensional data integration platform to drive decision-making management with comprehensive data. DataInsight can connect multi-source heterogeneous data from enterprise systems, enabling unified querying, correlation, cleaning, transformation, and computational processing of the data. It achieves integrated analysis of OT and IT data, constructs different thematic databases centered around business aspects based on analysis results, establishes a data sharing platform, and provides multiple data access methods for integration with other applications. Currently, DataInsight is widely used in industries such as electronics manufacturing, metal processing, textile dyeing and finishing, smart mines, wind power energy, etc.

製品の特徴

  • 01

    Rich Heterogeneous Data Access

    SQL databases, NoSQL databases, time-series databases, file formats such as CSV and JSON, Rest APIs, SAP RFC, WebServices, and more can all be accessed into DataInsight through a simple three-step process, enabling unified data management.

  • 02

    Low-Code Data Development Approach

    It provides a unified SQL specification, allowing direct correlation and calculation across heterogeneous data sources while obscuring the differences between them. Leveraging the Spark big data computing engine, it offers over 300 built-in functions and supports Python custom functions to meet complex computational logic. Data updates support different methods such as incremental and full updates, catering to various scenario needs.

  • 03

    Multi-Level Data Asset Management

    It supports a multi-level data asset directory, allowing data to be categorized by application or theme, such as production, materials, equipment, personnel, and more, akin to categorizing books in a library for easy retrieval and application.

  • 04

    Granular Permission Control Strategies

    Through user role management, different roles have different operational permissions, and custom roles can be created based on requirements. Resource allocation enables different users to view different data, while team management allows for quick allocation of identical resource permissions to a group of people.

  • 05

    Multiple Data Access Methods

    It provides JDBC/ODBC and API methods for integration with third-party systems and is deeply integrated with our cloud platform's visualization service, VisualSuite, enabling direct visualization and analysis applications for data. It can also be used in conjunction with third-party BI tools such as PowerBI and Tableau.

  • 06

    AI-Powered Data Assistant with Natural Language Interaction

    Leveraging large model capabilities, it enables intelligent querying through natural language, facilitating easy data retrieval, calculation, summarization, and download, lowering the barrier to data analysis and enhancing efficiency. In SQL development, it also offers functions such as natural language to SQL conversion, SQL interpretation, and SQL optimization.

製品紹介

  • Create Data Sources

    Quick integration and analysis with diverse system connections in just three simple steps

  • SQL Low-Code Development

    Unified SQL specifications to obscure differences among underlying data sources

  • Task Management

    Offers unified task management and monitors task execution status

  • Data Theme Libraries

    Constructs various types of theme libraries to establish a data sharing platform

  • Data Permission Settings

    Assigns different permissions based on different resources for flexible data control

  • Data & Intelligence Assistant

    Intelligent natural language querying for easy data retrieval, calculation, summarization, and download

製品バージョンアップのお知らせ

ソフトウェアバージョン
1.0.17
発売日
2024/12/13
What's new in this release?
1.0.9 Version Release.
概略サイズ
--
サポート言語
English (US), 繁體中文, 简体中文, 한국어

詳細はこちら

発行
Advantech
カテゴリ
著作権
Advantech

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