Brightics Data Preparation

Data management platform - The evolution of enterprise business transformation

Gather data from multiple points, and manage it intuitively

Brightics Data Preparation is the platform that collects and pre-processes various corporate data while managing the data lake. By providing various data collection environment, it provides effective data operation management services.

Major Services

Gather scattered data with speed, and process it with ease

  • 16 more templates for field practitioners
  • Process 200k distributed, real-time data per second (at each node)

  • Support various data source & process data real time

    It is possible to support various sources other than S3/Azure, FTP, Kafka and Oracle, and easily develop user-defined connectors. It is also possible to process data real time by providing functions to process data based on Spark Streaming and analyze data.

  • Provide various data flow templates

    It is possible to not only collect and convert structured/unstructured data but easily collect batch/real-time data by providing templates to collect and process data depending on users' situation.

  • Easily process/convert data and prepare for automated data

    It is possible to merge, process and convert data and efficiently search for big data with the tagging function that automatically extracts the meta-information of the dataset.

  • Effective work monitoring

    Users can effectively figure out the work monitoring with the visualizing function through dashboard.

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Analyst Reports

  • Samsung SDS was positioned as a Major Player in the 2021 APEJ IDC MarketScape for Vision AI Software Platform.

    MarketScape Asia/Pacific (Excluding Japan) Vision AI Software Platform 2021 Vendor Assessment, IDC

  • Magic Quadrant for Data Science and Machine Learning Platforms, 2021, Gartner

    Magic Quadrant for Data Science and Machine Learning Platforms, 2021, Gartner

    Samsung SDS is honored to be named in Gartner’s Magic Quadrant for Data Science and Machine Learning Platforms.

    in Magic Quadrant for Data Science and Machine Learning Platforms, March 2021, Gartner


    Learn more

  • Samsung SDS Brightics AI was selected as a leading vendor in the 'Multimodal Predictive Analytics and Machine Learning' category of Forrester Wave™

    in The Forrester Wave™ : Multimodal Predictive Analytics and Machine Learning, Q3 2020, Forrester

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Use Cases

    • Detect malfunctioning equipment
      It is possible to secure the preventive equipment systems depending on the equipment conditions and minimize component costs due to the replacement of the most optimized components through reliability management real time by component, while minimizing the productivity loss thanks to the early detection of equipment malfunctioning.

    • Analyze error cause of conveyance equipment
      Conveyance logistics and equipment operation loss will be minimized by reducing the response time to operation errors through the equipment event and the automatic cause analysis of errors based on log and reducing the reoccurrence rate of errors through the management for frequent errors.
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    Features

    • Support the environment of collecting various data in large volume

      It is possible to collect/implement/manage data in fast and convenient manner on various source systems and provide functions to automatically convert semi-structured log data as structured ones through the cognitive technology for data area and pattern recommendation technology.

    • Intuitive and automated data preparation

      To efficiently search for big data, the meta-information of the dataset can be automatically extracted and tagged. Through Filtered Histogram, it is possible to easily and quickly implement data merge, processing and conversion.

    • Effective data operation management

      It is possible to effectively operate and manage data by providing the data access control schemes by data worker and department that utilize the data and visualizing data in a way to figure out the work monitoring through dashboard.

    Specifications

    Recommended specifications
    • Deep learning analytics platform

      x86 server with 3 or more nodes
      -CPU: 16 cores/Node
      -Memory: 64GB/Node
      -Operating system: CentOS, RHEL 7.x

    • PC for platform users

      - Browser : Chrome (Version 50.0 or higher)
      - Screen resolution: 1280 x 900 (recommended)

    • Appropriate cloud environments

      SDS Cloud, Amazon Web Service, MS Azure, Google Cloud, etc.

    Documentations

    자료 더보기
    Let’s talk

    Whether you’re looking for a specific business solution or just need some questions answered, we’re here to help

    Brightics AI is an AI-powered analytics platform designed to provide an integrated environment for fast and accurate business analytics. It covers the entire lifecycle of data from data collection and analysis to utilization by using different modules including data preparation, machine learning, and deep learning. It allows everyone to easily perform structured and unstructured data analysis, build analytics models and work with others seamlessly using intuitive, easy-to-use modeling tools and functions without specialized data science knowledge or scripting. Brightics AI has more than 100 references across various industries, including manufacturing, marketing, logistics, security, and healthcare. Brightics AI represents one of Samsung SDS’s five key technology areas — AI, blockchain, cloud, data analytics and security (ABCDS) and can be complemented with other proprietary offerings, such as Samsung Cloud and Brightics IoT. Take advantage of the Brightics AI trial service, provided free of charge for 60 days, in a cloud environment here today.

    Disclaimer : Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

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