Data stack

Latest Articles

The role of data modeling in the modern data stack

In recent years, data modeling has seen something of a renaissance within the data landscape. Transformation (as it’s also referred to) is on everyone’s lips, and powerful solutions like dbt, in combination with leading ingestion tools like Snowplow, have unlocked the power of transforming data to thousands of organizations. Data practitioners spend a lot of time […]

Completing the modern data stack with Indicative

Global catastrophe has brought with it rapid change. Over the last 18 months, we’ve seen an acceleration in the number of companies adopting digital strategies, driven in large part by the most recent global pandemic. As Alex Dean, Snowplow’s CEO and Co-founder put it in 2020, “COVID-19 is accelerating a drive towards digital in many […]

The modern data stack: a guide

The last few years have seen an explosion in the number of data tools an organization can use to drive better decision making largely based on data stored and queried in cloud data warehouses. The cloud data warehouse has given organizations the ability to store and query vast datasets quickly and cost-effectively. For the first […]

Building a web analytics stack: packaged vs modular

Download the full eBook Rethinking modern web analytics All-in-one analytics solutions are wildly popular. And rightly so. To take Google Analytics as an example, Google’s decision to purchase Urchin in 2005 enabled them to enter the market early and bring web analytics to the masses. According to a traffic usage survey, in 2008 Google Analytics was […]

Why you should open source your data stack

Companies rely on behavioral data to make critical business decisions on a day-to-day basis. Data is a valuable resource for organizations, and as data volume grows, managing the information becomes a challenge. When choosing a data stack, businesses can either buy proprietary tools or build them using open source alternatives. While there are pros and […]

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