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Data

Data lake is one of the terms in our field that has changed a lot over the years. When I think about data lake as a workload that organizations run, my first thought goes back to the Hadoop days. Hadoop promised that processing true big...

Since Tableau released 2020.3 on the 11th of August, it is high time to highlight some of the new or improved features. In this blog, I'll highlight the following: Improvements to the New Data Model Improvements to set controls, both introduced in 2020.2 The IN...

As the world remains in quasi-quarantine, we’ve been staying connected and learning in our home offices thanks to InterWorks’ virtual Lunch & Learn series hosted by our APAC team. This month’s event covered five essential tips on table calculations. Table calculations are a special feature inside...

When you think of data science (for the purposes of this blog, this will encompass all machine learning and AI activities), you may think of specific aspects. I would make a wager that most people think specifically about model building. The Data Science Process Data science is...

Geocoding addresses in a scalable and sustainable way has always been surprisingly difficult in the BI world, let alone in Tableau. You either need expensive datasets/services, overkill GIS tools, or you must rely on very legally dubious usage of seemingly free (but not really free)...

Tableau Prep has improved considerably since it was launched. It offers a lot of tools to pre-process and transform your data. But sometimes, you need to apply a function that has no equivalent in Prep, want to extract some data using an API interface or...

Snowflake has long been the Cloud Data Warehouse. The organization has completely changed the game with unique architecture purpose-built for the cloud: allowing scalable storage and compute for data warehousing projects, all within a SQL-compliant database. The benefits of Snowflake’s modern architecture were obvious, and over...

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