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Snowflake Data Science Training Summary

I have enrolled in a private Snowflake Data Science Training. Let me list what I learned from it.

  • SQL worksheets
  • Snowpark in notebook
Terminal window
mkdocs build
mkdocs serve
mkdocs gh-deploy --force

ML functions:

  • forecast
  • anomaly_detection
  • classification
  • top_insights
show parameters like 'SEARCH_PATH';
set cur_search_path = (select "value" from table(result_scan(-1)));
set new_search_path = (select $cur_search_path || ', snowflake.ml'); -- append `snowflake.ml` into search_path
alter session set search_path = $new_search_path;
-- now below two statements are interchangeable
show snowflake.ml.forecast;
show forecast;

Snowpark Configuration & Snowflak-Spark Configuration

Section titled “Snowpark Configuration & Snowflak-Spark Configuration”

:exclamation: Attributes are different

  • Snowpark config
    {
    "account":"",
    "user":"",
    "authenticator":"externalbrowser",
    "role":"",
    "warehouse":"",
    "database":"",
    "schema":""
    }
  • Snowflake Spark config
    {
    "sfURL":"",
    "sfRole":"",
    "sfWarehouse":"",
    "sfDatabase":"",
    "sfSchema":"",
    "sfUser":"",
    "sfPassword":"",
    "authenticator":"externalbrowser",
    }