helixml / helix

Data Preprocessing - helixml/helix

Data Preprocessing is a crucial step in the data analysis process, often taking up to 80% of the effort in any data analysis project (Source: Automating Data Preparation With Modern Tooling Like Snorkel And OpenRefine). It involves several possible options, including:

  1. Filtering: This involves selecting a subset of the data based on certain criteria. For example, using Apache Camel, you can define workflows that filter data from different sources (Source: Working with Big Spatial Data Workflows or What Would John Snow Do).

  2. Transforming: This involves changing the format or structure of the data. For instance, you can use XSLT transformations, data mapping, or filters to convert data into a format suitable for analysis (Source: Working with Big Spatial Data Workflows or What Would John Snow Do).

  3. Conflating: This involves merging data from different sources. For example, using Syndesis, you can connect your data workflow to different software, such as PostgreSQL or KML, for further analysis (Source: Working with Big Spatial Data Workflows or What Would John Snow Do).

  4. Preprocessing: This involves preparing data for machine learning training. For instance, DPP (Data Preprocessing Pipeline) Client side rebatching can improve the rows/s throughput for large batch explorations (Source: Data Ingestion Machine Learning Training Meta).

  5. Transforming with Tremor: Tremor is a language for data processing that can transform unstructured data events into structured data. It supports various data formats, including JSON and MsgPack, and provides looping constructs, path-like syntax for indexing into records and arrays, and expression-based templates for transformations (Source: Tremor Script, Tremor Connectors).

These options can be implemented using various technologies and dependencies, such as Apache Camel, Syndesis, OpenRefine, and Tremor, which can be integrated into a data analysis pipeline using Python scripts or other programming languages (Source: Automating Data Preparation With Modern Tooling Like Snorkel And OpenRefine).