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Blog Roll
Tag Archives: Window functions
How to Concatenate Strings in Snowflake with Alteryx INDB
Suppose you have a set of transactions, such as Superstore orders for instance, each with one to many line items, with each line item belonging to a product category: Note that this is a single order with actually 14 line … Continue reading
Posted in Alteryx, Performance, Snowflake, SQL
Tagged CTE, INDB, Window functions
Comments Off on How to Concatenate Strings in Snowflake with Alteryx INDB
Customer Cohorts and Product Sequence with orders data
Whether you work in B2B or B2C, getting a better understanding of customer or account transactions in sequence is core. Customer cohorts will show you how well you are doing acquiring new customers, but also do they conduct repeat business … Continue reading
How to filter transactions by a calculated category using SQL Window Functions
Have you ever found yourself in a situation where you need to filter a set of transactions based on categories which need to be calculated from that same set? Let’s say you have a data set containing all the customer … Continue reading
Posted in Alteryx, Marketing, Performance, Redshift, Snowflake, SQL
Tagged INDB, SQL, Window functions
2 Comments
10 Tricks to adopt Redshift In-DB
If you are still manipulating data in Excel, why should you care about In-DB and Redshift? Whether you are accessing your Redshift data through Alteryx or through Tableau, knowing how to prepare your data within Redshift, with In-DB tool in … Continue reading