Snowplow Indicative Relay released

20 September 2018  •  Andrzej Soltysik
We are pleased to announce the release of the Snowplow Indicative Relay. This is a Snowplow relay project, implemented as an AWS Lambda function which allows for sending batches of Snowplow enriched events from a Kinesis stream into Indicative. What is Indicative? How does the relay work? Requirements and setup Usage Getting help 1. What is Indicative? Indicative is an emerging customer analytics platform, optimized for analyzing customer journeys. It is particularly well suited for...

High-end customer analytics with Snowplow and Indicative

20 September 2018  •  Anthony Mandelli
This is an introduction to the Snowplow Analytics Indicative Relay. For detailed technical instructions, please see the official developer release You’ve launched a new feature in your application and naturally you can’t help but wonder, “who’s using this?” You begin to wonder, what do those interactions with the new feature look like and at what point in the customer journey do they take place? Are people even using it in the way you anticipated when...

Snowplow 110 Valle dei Templi introduces real-time enrichments on GCP

12 September 2018  •  Ben Fradet
We are excited to announce the release of Snowplow 110 Valle dei Templi, named after the archeological site in Agrigento, Sicily. This release brings the real-time enrichment process on Google Cloud Platform to Cloud Dataflow. Please read on after the fold for: Beam Enrich Bug fixes Upgrading Roadmap Help By Jos Dielis Valle dei Templi, via Wikimedia Commons 1. Beam Enrich Beam Enrich is our new enrichment platform targeting Google Cloud Platform’s Cloud Dataflow service....

SQL Runner 0.7.0 released

11 September 2018  •  Mike Hadam
We are pleased to announce version 0.7.0 of SQL Runner. This release adds many new features including the printing out of query output, templated playbooks, the ability to view evaluated SQL file templates, and more: Viewing query output Templated playbooks Check SQL queries Other changes Upgrading Getting help 1. Viewing query output Version 0.7.0 introduces the ability to view output from queries. Using the -showQueryOutput flag will print all query results to the console formatted...

Industry leader Adam Greco joins Snowplow Analytics advisory board

07 September 2018  •  Anthony Mandelli
We want to change the way that people do digital analytics. Snowplow Analytics was founded to enable companies to collect more, and better, digital data across all the different points where they engage with their users. We want them to own and control that data including what is collected, how it is structured and processed, and where it is warehoused. We want to do all of this, most importantly, to empower companies to use their...

Snowplow RDB Loader R30 released

29 August 2018  •  Anton Parkhomenko
We are pleased to announce the release of Snowplow RDB Loader R30 which adds multiple usability and stability improvements. Please read on after the fold for: Load manifest improvements Configuration refactoring Logging improvements Snowplow Processing Manifest Other improvements Upgrading Getting help 1. Load manifest improvements In R87 Chichen Itza we introduced the Redshift load manifest table, widely known as atomic.manifest. Each row in this table represents metadata about a loading “job” performed by RDB Loader....

Iglu R10 Tiflis released

29 August 2018  •  Oguzhan Unlu
We are excited to announce the release of Iglu R10 Tiflis, paving the way for a smoother igluctl workflow. This release also introduces small but important updates to Iglu Server and the core Iglu libraries. Schema workflow, simplified Improvements to Iglu Server Improvements to the core libraries Upgrading Getting help Read on for more information about Release 10 Tiflis, named after the first provisional stamp of Russia. 1. Schema workflow, simplified Working with JSON Schemas...

Snowplow R109 Lambaesis real-time pipeline upgrade

21 August 2018  •  Ben Fradet
We are pleased to announce the release of Snowplow 109 Lambaesis, named after the archeological site in north-eastern Algeria. This release focuses on upgrading the AWS real-time pipeline components, although it also updates EmrEtlRunner and Spark Enrich for batch pipeline users. This release is one of the most community-driven releases in the history of Snowplow Analytics. As such, we would like to give a huge shout-out to each of the contributors who made it possible:...

Snowplow Spotlight Rebecca Lane

17 August 2018  •  Miriam de Medwe
What do you do at Snowplow? I’ve only recently joined Snowplow Analytics, so I’ll let you know when I’ve figured it out… but to be more serious - the primary focus of my role is ensuring that our customers deliver value from using Snowplow. This can range from working to understand their business problem and educating them on how Snowplow can help, to telling them about functionality that will help them. Why did you decide...

Modelling page view events as a graph

13 August 2018  •  Dilyan Damyanov
In the previous post in this series we started exploring options for modelling event data as a graph in general. We looked at three ways of modelling atomic event data: The event grammar approach. The event graph approach. The denormalised graph approach. Ultimately we chose to model events as a denormalised graph, where the same things are represented multiple times in different ways (eg as both a node and a relationship). That adds redundancy to...