Krydus Data Processing

Extract, Data Analysis, and Feature Extraction

Krydus Data Processing

Krydus Data Processing refers to the process of performing specific operations on a set of data or a database.Data processing primarily is performed on information systems, a broad concept that encompasses computer systems and related devices. At its core, an information system consists of input, processing, and output.

Extract, Transform, & Loading

The general procedure of copying data from one or more sources into a destination system which represents the data differently from the source or in a different context than the source.

Data Analysis

The process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

Feature Extraction

In machine learning, pattern recognition, and image processing, feature extraction starts from an initial set of measured data and builds derived values (features) intended to be informative and non-redundant, facilitating the subsequent learning and generalization steps, and in some cases leading to better human interpretations.

Features

  • Custom Machine Learned Classifiers
  • Auto-Generation of Dataset Statistics
  • Auto-Formatting and Cleaning of Datasets
  • Detailed Data Visualizations
  • Quick Onboarding through SaaS