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The top 10 datasets of 2018

by Patrick McGarry | Jan 3, 2019 | Data community

A landmark year for the data.world communityAs we approach the new year it’s always a great time to look back and take stock of the road we have traveled over the last 12 months. This year in datasets, we continued to ride the political roller coaster with everything...

How interoperable components optimize your data stack

by Scott Came | Sep 27, 2018 | Data catalogs

Like many technologists, my first exposure to “building stuff” as a child was through Legos. I remember spending hours clicking individual bricks together to build rooms, assembling the rooms into buildings, and arranging buildings into neighborhoods and little towns....

Centralize your data with super-connectors

by Shawn Syjueco | Sep 25, 2018 | Data catalogs

There’s only thing stopping you from satisfying your sweet tooth: baking that next batch of delicious brownies. You’ve got all the ingredients in front of you. One problem though: you don’t have any bowls to mix them in. From the sugar to the baking soda, there’s not...

Enable self-service analytics with data.world & metaphactory

by Bryon Jacob | Sep 21, 2018 | Data catalogs

One of the most powerful features of data.world’s data-first platform approach is that access to data is exposed through a well-standardized query language and web service protocol — SPARQL. And because SPARQL is so well standardized, there are many tools on the...

Expand your data’s reach using parameterized queries

by Shawn Syjueco | Sep 19, 2018 | Data catalogs

Taking a deep dive into your organization’s data can feel like stepping out of an airport in a foreign country for the first time. The world continues to move around you while you freeze, dumbfounded as people whiz past, speaking languages that are as good as...

How to fight data bias with smart hires

by Jenny Ryan | Sep 12, 2018 | Data-driven cultures

Algorithms are only as good as the data that feeds them. Data scientists are deeply familiar with the impact of GIGO (garbage in, garbage out), where messy inaccuracies, fragmented data, and the like result in poor analysis. But fairness, inclusion, and bias in the...

3 ways to find out what your data people aren’t telling you

by Tyler Durman | Aug 29, 2018 | Data-driven cultures

This is Part 5 in a series about Collective Data Empowerment. If you want to get the whole series and accompanying tools in an ebook, go here. So, you’re a data executive. You’re on a mission to build a data-driven culture. You...

Finding your way with Collective Data Empowerment

by Tyler Durman | Aug 23, 2018 | Data-driven cultures

This is Part 4 in a series about Collective Data Empowerment. If you want to get the whole series and accompanying tools in an ebook, go here. You are in a dark forest. Above, the dense canopy of limbs and leaves hides the sun’s position. Your phone died miles ago....

Visual analytics expert Andy Cotgreave on why analytics teams need liberal arts, why Chief Data…

by Ian Greenleigh | Aug 15, 2018 | Data-driven cultures

“But now we’ve realized that, well hang on, if you’re gonna build a driverless car, how does the car interact with the humans on the road? And that is not an engineering challenge, that is a liberal arts challenge because you’re looking at the world of philosophy,...

3 new efficiency hacks your data team will love

by Jenny Ryan | Aug 9, 2018 | Data catalogs

I know this post’s title isn’t an exaggeration because at data.world, we use our own product. Extensively. And when these three features were debuted one Friday afternoon, they were literally given standing ovations. In case you missed them, here are three of our...