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Analytics

Data Privacy through shuffling and masking - Part 2

In the first part of this blog two-part series, we took a deep dive on Data Shuffling techniques aiming to mix up data and allowing to optionally retain logical relationships between columns. In this second part, we will now focus on Data Masking techniques as one of the main approach to guarantee Data Privacy.

5 best practices to deliver trust in your data project : Tip #2 control your data wherever

Whenever an IT system, application or personal productivity tool is used inside an organization without explicit organizational approval, we talk about shadow IT. Shadow IT is not only a security and compliance nightmare, it creates a data sprawl where each group can create its data silos.

What we learned selling subscriptions before they became trendy

Our decision to change from a perpetual licence model to subscriptions was one of the great naive moments in Yellowfin’s history. It was about eight years ago and we had great sales growth but it was getting harder to start from scratch every year and sell more perpetual licenses. At the same time, our maintenance business was growing so we decided to flip our model and sell subscriptions. It seemed like a good idea at the time as none of our competitors were selling subscriptions.

Generating a Heat Map with Twitter data using Pipeline Designer - Part 3

If you have got through part 1 and part 2 of this series of blogs, there are only a few more steps to carry out before you can see the end to end flow of data and create your Heatmap. If you have not read the first two blogs, the links to the blogs are above. Although these blogs have been quite lengthy, I hope you understand that I have tried to make sure that any level of experience can achieve this. Since Pipeline Designer is a new product, I felt that it made sense to be as explicit as possible.

The Privacy Hazard in High Tech Heritage

DNA kits like 23andMe, Helix and AncestryDNA topped holiday gift guides again this past year. Kits range in the market from $60 to $200, and they’re meant to help consumers understand family history, genealogy and can even connect unknown family members. Collecting genetic data can also have broader impacts in healthcare and justice for law enforcement.