2. basic ops

Basic operations to support minimal data quality assessment, make life more live-able, and increase the ease and effectiveness for data-science swat-team deployments, all in the large-tabular-data context

* path normalization for interop between environments (classify path format by OS and translate to native format)
* data type detect: nominal, numeric, date, geo
* date detect and format validation
* data dictionary vs file matching
* data dict normalization plus recovery from multiline cells
* metadata: fields search, description search, w support for fuzzy matching
* semantic matching
* autodetect and application of human-readable lookups present in other tables
* flatfile parsing -- all sets
* dataset identification and integration
* redundant records detection -- large data
* lossless data compression
* windowing for multitemporal analysis
* low memory (large data) sorting, incl. but not limited to: by date!
* not require specific install location
* allow people to select versions for data
* parse and filter largest files bypassing RAM memory limitation restrictions