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Discourse – Snowplow | discourse.snowplowanalytics.com Reviews

https://discourse.snowplowanalytics.com

The home of the Snowplow community

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Trial – Snowplow

http://snowplowanalytics.com/get-started

Start a trial. It’s free. Try Snowplow free for 30 days,. And see what becomes possible. Batch pipeline ($1,250/mo on the Managed Service). Real-time pipeline ($5,000/mo on the Managed Service). What are the options? Snowplow data pipeline setup. Ongoing instrumentation and monitoring of the data pipeline. Proactive monitoring of the data pipeline, including identifying and addressing issues that arise. Support with developing and evolving the event dictionary, including schema definitions and Iglu.

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Team – Snowplow

http://snowplowanalytics.com/about/team.html

Meet the Snowplow team. Alexander Dean Tech Lead. Alex is a passionate technologist, with a keen interest in functional programming, big data technologies and cloud-based architectures. Although he has been programming since he was five, Alex has always been a polymath: he has a 1st in History from the University of Cambridge. And worked as a strategy consultant at both Keplar LLP. And Fathom Partners (since bought by? As well as working in technical roles at OpenX. Yali Sassoon Analytics Lead. Fred join...

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About – Snowplow

http://snowplowanalytics.com/about

The Roma Building, 32-38 Scrutton Street. Sign up to our mailinglist to be notified of new releases. The Roma Building,. EC2A 4RQ London, UK. 2016 Snowplow Analytics, Ltd. Privacy policy.

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Product – Snowplow

http://snowplowanalytics.com/product/the-best-event-data-warehouse.html

The event data pipeline. Your event data in your own data warehouse. Query on your event data. Join web, mobile and marketing data sets with other data sources. View all customers interactions across all channels in a single place. Your event data available to process in real-time, across. Monitor the performance of your business in real-time (real-time dashboards). Respond to your users in real-time (e.g. personalization, marketing automation). Both pipelines have the same high-level architecture:.

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Latest news – Blog – Snowplow

http://snowplowanalytics.com/blog

02 September 2016 • Idan Ben-Yaacov. Third Snowplow Meetup London scheduled for September. On the 21st September we’ll be hosting our third London meetup taking place at Skills Matter Code Node. Shift Room) from 18:30-21:45. In this meetup you’ll have a chance to hear real people, doing real stuff with real time. We’ll also talk about our latest developments and our vision in the real time space. 29 August 2016 • Joshua Beemster. We are pleased to announce the release of the Snowplow Android Tracker.

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Jobs at Snowplow – Snowplow

http://snowplowanalytics.com/about/jobs.html

Join the Snowplow team! The Snowplow team is growing. We’re looking for candidates who are:. Excited to try new things including tools and technologies. Like to learn by doing, failing and trying again. Hands on - like to deliver: commit code, draw concrete insights. Willing to challenge conventional thinking. We do our best to make working at Snowplow a pleasure for the right candidates:. Work from our London office or remotely anywhere in the world (depending on the role). The Roma Building,.

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Product – Snowplow

http://snowplowanalytics.com/product

The event data pipeline. Your event data in your own data warehouse. Query on your event data. Join web, mobile and marketing data sets with other data sources. View all customers interactions across all channels in a single place. Your event data available to process in real-time, across. Monitor the performance of your business in real-time (real-time dashboards). Respond to your users in real-time (e.g. personalization, marketing automation). Both pipelines have the same high-level architecture:.

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Guides – Snowplow

http://snowplowanalytics.com/documentation

How to set up Snowplow? Step 1: Set up a collector. Step 2: Set up a tracker. Step 3: Set up enrich. Step 4: Set up an alternative data stores. More setup guides are available on GitHub. Snowplow canonical event model. More documentation is available on GitHub. Data modeling and analytics. Data modeling is the process of learning about the data and developing a data model that combines events into derived datasets that are useful to the business. These guides cover the basics. The Roma Building,.

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Partners – Snowplow

http://snowplowanalytics.com/about/partners.html

We are fortunate to partner with some of the most exciting and innovative companies in the industry, to deliver value to our users. We are fortunate be partnering with organisations at the cutting-edge of analytics services and cloud-based data services. Snowplow is a scalable platform built to handle billions of events per day. Building Snowplow on AWS has enabled us to deliver that scalability in a cost-effective way for our users. For more information see our Technology section. Our implementation par...

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Building an event grammar - understanding context – Snowplow

http://snowplowanalytics.com/blog/2014/03/11/building-an-event-grammar-understanding-context

11 March 2014 • Research. 8226; Alex Dean. Building an event grammar - understanding context. Here at Snowplow we recently added a new feature called custom contexts to our JavaScript Tracker (although not yet into our Enrichment process or Storage targets). To accompany the feature release we published a User Guide for Custom Contexts. For our first description of it:. Event context: the theory. Context and Snowplow today. The power of context. Event context: the theory. Compared to the colourful entiti...

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