Smart Storage

In order to handle data, Shapelets uses very efficient data structures which rely on a technique named bitmap indexing. This technique offers particularly good results in huge databases, providing faster retrieval of records and greater efficiency in insert, delete and update operations.

When handling time series, temporal indices are discretized and codified as bitmap indices, speeding up operations and providing several advantages, like the ability to store time series sampled at an arbitrarily high frequency.

Find below a chart showing the performance of Shapelets Smart Storage vs a standard approach for large datasets.

Content

• Input/Output
  • Read Data
  • Export/Save Data
• Inspect DataSet
  • Contents of a DataSet
  • DataSet description
  • Summaries
• Queries
  • Shapelets Syntax
  • Selecting Data
  • Aggregate Data
  • Manipulate Data
  • Join Data