DESCRIBE TABLE is a powerful tool for understanding the structure of a table. However, in Snowflake the output of
DESCRIBE TABLE is not treated like a regular table (i.e. can be manipulated using
SELECT). To query
DESCRIBE TABLE as a regular table we have to first run it, then run a
SELECT query on the last query run which will be
Create Table Of Superheroes
- Create a table called SUPERHEROES. If it already exists, replace it. CREATE OR REPLACE TABLE SUPERHEROES ( - Column called ID allowing up to five characters "ID" VARCHAR(5), - Column called NAME allowing up to 100 characters "NAME" VARCHAR(100), - Column called ALTER_EGO allowing up to 100 characters "ALTER_EGO" VARCHAR(100) );
Insert Rows For Each Superhero
- Insert rows into SUPERHEROES INSERT INTO SUPERHEROES - With the values VALUES ('XF6K4', 'Chris Maki', 'The Bomber'), ('KD5SK', 'Donny Mav', 'Nuke Miner');
Describe The Table
- Describe the table SUPERHEROES DESCRIBE TABLE SUPERHEROES;
Run A Query On The Describe Query’s Output
- Select the "name" and "type" columns SELECT "name", "type" - Of the last query (in this case the DESCRIBE TABLE query) FROM TABLE(RESULT_SCAN(LAST_QUERY_ID())) ;
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
Data Science Resources: Data Science Recipes and Applied Machine Learning Recipes
Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!
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