Skip to content

Latest commit

 

History

History
52 lines (47 loc) · 2.32 KB

CHANGELOG.md

File metadata and controls

52 lines (47 loc) · 2.32 KB

dbt_apple_store v0.2.0

🚨 Breaking Changes 🚨:

PR #6 includes the following breaking changes:

  • Dispatch update for dbt-utils to dbt-core cross-db macros migration. Specifically {{ dbt_utils.<macro> }} have been updated to {{ dbt.<macro> }} for the below macros:
    • any_value
    • bool_or
    • cast_bool_to_text
    • concat
    • date_trunc
    • dateadd
    • datediff
    • escape_single_quotes
    • except
    • hash
    • intersect
    • last_day
    • length
    • listagg
    • position
    • replace
    • right
    • safe_cast
    • split_part
    • string_literal
    • type_bigint
    • type_float
    • type_int
    • type_numeric
    • type_string
    • type_timestamp
    • array_append
    • array_concat
    • array_construct
  • For current_timestamp and current_timestamp_in_utc macros, the dispatch AND the macro names have been updated to the below, respectively:
    • dbt.current_timestamp_backcompat
    • dbt.current_timestamp_in_utc_backcompat
  • packages.yml has been updated to reflect new default fivetran/fivetran_utils version, previously [">=0.3.0", "<0.4.0"] now [">=0.4.0", "<0.5.0"].

dbt_apple_store v0.1.0

Initial Release

This is the initial release of this package.

What does this dbt package do?

  • Produces modeled tables that leverage Apple App Store data from Fivetran's connector in the format described by this ERD and builds off the output of our Apple App Store source package.
  • The above mentioned models enable you to better understand your Apple App Store metrics at different granularities. It achieves this by:
    • Providing intuitive reporting at the App Version, Platform Version, Device, Source Type, Territory, Subscription and Overview levels
    • Aggregates all relevant application metrics into each of the reporting levels above
  • Generates a comprehensive data dictionary of your source and modeled Apple App Store data via the dbt docs site

For more information refer to the README.