Datasets
An Open Data Blend Dataset is a collection of analytics-ready data files packaged with rich metadata.
You can access Open Data Blend Datasets in two ways:
    Open Data Blend Dataset UI:
      Targets the broader community of information workers
      For ad-hoc dataset acquisition and evaluation
      Reading the documentation is optional
    Open Data Blend Dataset API:
      Targets technical individuals who are comfortable with code
      For integrating datasets with a broader solution
      Reading the documentation is recommended

Data Files

To maximise the accessibility and usefulness of the data that we publish, we support the three most popular open data file formats:
    Compressed (Gzip) CSV
    Apache ORC
    Apache Parquet
Only previews of the top 100 rows are available in uncompressed CSV data files. The full versions of CSV data files are always Gzip compressed to reduce download times and save disk space.
The choice of which data file formats you use will often be driven by the set of tools and platforms that you intend to use them with.
A Gzip CSV or ORC data file is typically 40-50% smaller than the corresponding Parquet version. Only the ORC and Parquet data files are optimal for interactive analytical workloads.
Below are some examples of the types of file format choices that may be made:
Platform or Tool
Supported Formats
Chosen Format
Apache Spark
CSV, ORC, Parquet
Parquet
Apache Hive
CSV, ORC, Parquet
ORC
Presto
CSV, ORC, Parquet
ORC
Power BI Desktop
CSV, Parquet
CSV
Python
CSV, ORC, Parquet
Parquet
R
CSV, Parquet
Parquet
Tableau Desktop
CSV
CSV
In the table above 'CSV' refers to both uncompressed and compressed (Gzip) CSV data files.
Last modified 1mo ago
Copy link
Contents
Data Files