Redshift does not support partitioned tables.
Time Series Tables
Time series tables provide a scalable way to handle time series data. Instead of storing all the data in a single table it is partitioned by timestamp in multiple tables. This helps ensure that the queries run fast and simplifies managing the retention of the time series data — old data can easily be deleted from Redshift and then retrieved from S3 if needed again - maintaining the hygiene of Redshift, improving performance.
Tables are partitioned with a view that unions them:
CREATE VIEW events AS SELECT * FROM events_20170910 UNION ALL SELECT * FROM events_20170911 UNION ALL SELECT * FROM events_20170912;