Statements (70)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:sports_event
|
gptkbp:bfsLayer |
7
|
gptkbp:bfsParent |
gptkb:Arrow_Julia_Package
|
gptkbp:can_be_used_with |
other data sources
other Arrow tables |
gptkbp:can_create |
column names
row ranges |
gptkbp:can_provide |
SQL-like syntax
|
gptkbp:communication |
CSV format
Parquet format Feather format |
gptkbp:controls |
Arrow compute functions
|
gptkbp:curated_by |
column names
row indices |
gptkbp:developed_by |
gptkb:software_framework
|
gptkbp:exported_to |
gptkb:file_format
Excel format |
gptkbp:field |
gptkb:nickname
length type |
gptkbp:has_transformation |
Pandas Data Frame
Num Py array |
https://www.w3.org/2000/01/rdf-schema#label |
Arrow. Table
|
gptkbp:introduced |
gptkb:2016
|
gptkbp:is_compatible_with |
multiple programming languages
data lakes data warehouses |
gptkbp:is_designed_for |
low-latency data access
cross-language interoperability high-performance analytics high-throughput data access |
gptkbp:is_optimized_for |
real-time analytics
analytics workloads in-memory data processing |
gptkbp:is_organized_by |
grouping functions
|
gptkbp:is_part_of |
big data ecosystem
data science workflows Apache Arrow project open-source data ecosystem |
gptkbp:is_supported_by |
gptkb:Java
gptkb:C++ gptkb:Pandas gptkb:Library gptkb:R_language gptkb:skincare_product gptkb:park |
gptkbp:is_used_for |
gptkb:file_format
data analysis data integration data transformation data validation data cleaning data profiling data exploration |
gptkbp:is_used_in |
ETL processes
data visualization tools machine learning applications cloud computing environments on-premises environments business intelligence tools data reporting tools data analytics platforms data visualization libraries data processing frameworks |
gptkbp:produced_by |
batch processing frameworks
streaming frameworks |
gptkbp:provides |
schema information
|
gptkbp:supports |
columnar storage
zero-copy reads |
gptkbp:type_of |
conditions
|