![]() ![]() ![]() Select the one that best fits the format of your data and it will then populate the ‘inputs date format(s)’ section of the parse date processor. The Smart Date parser displays a list of probable date formats. Open the Processor Library (“+ADD A NEW STEP”), select the “Parse to standard date format” processor under the “Dates” category, input the column name then click “Find with Smart Dates.” Select ‘Parse date…’ from the dropdown menu that appears upon hovering the column name of a column recognized as “Date (unparsed).” There are two ways to parse a column into a date both will The correct format for use in the date parsing processor. The ‘Smart Date’ parser detects probable formats in which an unparsed date column is written and assists in generating The asDate function in Dataiku DSS can be used to parse dates into an acceptable format as can the features Once parsed, Dataiku DSS will consistently recognize and use a date column as such. Parsing a date column will convert a column that contains a date written in non-ISO-8601 or non-RFC-822 format intoĪ standard, non-ambiguous format. ![]() Server’s locale, unless otherwise specified. Dataiku DSS performs all computations on date columns in UTC timezone for the Only columns recognized as having valid date formats can be Will be automatically given the meaning ‘Date (unparsed)’. Manipulation and transformation components described below.Īny columns that are recognized as likely to contain dates but which have yet to be converted into either valid format Internally, the Date type handlesĭates stored in all other date formats need to be parsed into the ‘date’ type in order to leverage the date ISO-8601 with timezone indicator: for example T15:16:13.764Z or T15:16:13.764+0200īoth these formats include timezone information and are therefore non-ambiguous. Two standard date formats, both including timezone information, are recognized as valid: The Date meaning is the main meaning in Dataiku DSS used for representing dates in a non-ambiguous format. API Node & API Deployer: Real-time APIsĭata Preparation provides several components for easy management, transformation and normalization of dates.Automation scenarios, metrics, and checks. ![]()
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