Brightics Data Preparation
Data management platform - The evolution of enterprise business transformation
Gather data from multiple points, and manage it intuitively
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)
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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.
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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.
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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.
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Effective work monitoring
Users can effectively figure out the work monitoring with the visualizing function through dashboard.
Use Cases
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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.
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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.
Features
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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.
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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.
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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
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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
Related Offerings
Find out more about our offerings
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- Brightics Deep Learning
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- Brightics Visual Search is an AI platform for media search. It incorporates media analysis features with knowledge graphs to provide end-to-end content distribution services that cover all the processes of content supply and distribution.
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- Brightics Analytics Services
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- Brightics AI Accelerator
- Save time and deliver value faster with automated machine learning and automated deep learning in only a few lines of code.
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- Let’s talk
- Whether you’re looking for a specific business solution or just need some questions answered, we’re here to help
