For data modelers & consumers


Analytics SDKs
Schema Guru
Snowflake
Spark
Redshift
SQL Runner
Iglu

About the For data modelers & consumers category [For data modelers & consumers] (1)
Iglu-server - latest release [Iglu] (3)
Group "Greater London" together [For data modelers & consumers] (2)
How to reference variables inside sqlrunner .sql scripts [SQL Runner] (4)
Event Dictionary - generate human readable documentation library [For data modelers & consumers] (17)
Excluding non-interaction events from the bounce rate calculation [For data modelers & consumers] (5)
Writing Iglu clients [Iglu] (10)
Table com snowplowanalytics snowplow web page 1 does not exist [For data modelers & consumers] (8)
Are there still data cube sql files available [Redshift] (16)
Make big data small again with Redshift ZSTD compression [Redshift] (9)
Trouble setting up views on AWS Redshift [Redshift] (2)
Accessing command line arguments in playbook [SQL Runner] (1)
Does Facebook, Instagram, Twitter or any other App/Client traffic include a referer? [For data modelers & consumers] (2)
Error: Directory Already Exists when running Snowflake transformer [Snowflake] (13)
Redshift losing connection and disconnecting mid-query [Redshift] (3)
Reconciling Snowplow and Google Analytics session numbers [For data modelers & consumers] (15)
Redshift Permissions [Redshift] (8)
Excluding field from atomic.events [Redshift] (6)
"Viewport" capture and utilization thereof in modeling [For data modelers & consumers] (2)
Configuring the playbook.json for loading Snowflake [Snowflake] (14)
Modeling, Deduplication and Architectures [Redshift] (2)
How Snowplow data is structured in Snowflake [Snowflake] (3)
Unique Pageview in a Session & Engaged Pageviews? [For data modelers & consumers] (3)
Problem mocking my own Iglu schema registry [Iglu] (4)
Schema Versioning [Iglu] (5)
SQL Editor for BigQuery [For data modelers & consumers] (2)
Which timestamp is the best to see when an event occurred? [For data modelers & consumers] (1)
Customer Funnel based on pageviews? [For data modelers & consumers] (7)
Most commonly used tools of product analysts [For data modelers & consumers] (1)
Habits of successful data-driven product teams [For data modelers & consumers] (1)