You’ll be able to make better decisions that will help your business grow and prosper. It also enables you to examine your business data using the most up-to-date predictive analytics. And now you can focus on other things while Amazon Redshift does the majority of the data processing for you. Amazon Redshift allows you to store and analyze all of your data in order to gain actionable business insights.įurthermore, in the past, sales predictions and other forecasts had to be done manually. It is a key component of the Amazon Web Services (AWS) cloud platform. Introduction to Amazon Redshift Image SourceĪmazon Redshift is a fully managed Cloud Data Warehouse service with petabyte-scale storage. Working knowledge of querying databases.

A successfully set-up Redshift Data Warehouse.

and this makes it a little bit more complex compared to other data types. There are other functions in Redshift relating to DateTime, the reason being that, unlike other data types, with DateTime you have many different parts like Day, Week, Month, Quarter, Year, Hour, Minutes, Seconds, etc. They either take a date as an input or show a date as an output. In this post, we will look at Date functions in Redshift - specifically the Redshift DATEDIFF and DATEADD functions with syntax and practical use cases of using these functions.

Date functions to manipulate date data types in Redshift.Numeric functions to perform operations on numeric data.String functions to perform operations on strings.Redshift has various types of built-in functions to perform operations on data for example:

Datediff redshift