Mode Blog

Analysis

September 17, 2019 4 minute read

How Mode and intermix.io Deliver Fast Queries on Amazon Redshift

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Lars Kamp

Co-founder & Chief Data Engineer

Lars Kamp is the Co-Founder & Chief Data Engineer at intermix.io (http://intermix.io/) where he helps customers optimize Amazon Redshift and their analytics queries for peak performance. We’ve invited intermix.io to share a guest piece detailing the new data stack.

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Data Teams

May 2, 2019 3 minute read

4 Lessons to Keep Your Data Model Under Control

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Joel Carron

Data Scientist at Mode

A data model defines how an organization's various data sources are organized, related, and accessed. As data sources are added and complexity grows, the data model makes a big impact on the productivity and efficiency of anyone in the company that works with data.

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Data Teams

March 27, 2019 2 minute read

Get More Done With the New API Cookbook and Developer Docs

Leqi Long

Senior Customer Success Engineer

Today, we're announcing the newly-designed Mode developer site. The new site contains extensive documentation of commonly used API endpoints, plus a few new ones. We've also added an API cookbook give you templates for common tasks. These new resources make it easier than ever before to build with Mode.

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Data Teams

March 5, 2019 2 minute read

Empathy and the Art of Analytical Persuasion

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Benn Stancil

Chief Analyst

As analysts and data scientists, we have to make our work compelling and persuasive to change the way our organizations think. It can be easy to assume that our well-constructed graphs and tables are plenty convincing on their own. But this ignores a fundamental fact of analytics: it's still a human making the decision behind those numbers, and that person is rarely as quantitatively inclined as we are. Persuading this audience takes a skill that isn't discussed enough in the data science community: empathy.

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Data Teams

February 14, 2019 2 minute read

The Problem With Hands-Off Analytics

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Benn Stancil

Chief Analyst

A hands-off approach would seem reckless for questions about things like security. And yet that approach is not just the norm for analytical questions in most organizations; it's often the ideal. Many analytics teams aspire to enable as much “self-serve” as possible - in other words, to remove themselves from as many decision-making processes as they can.

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General

February 12, 2019 2 minute read

Mode Has Raised a Series C!

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Derek Steer

CEO

There's a fundamental change taking place in the way that organizations make decisions. For analysts and data scientists, the days of being forced to use conventional, monolithic data tools are ending. The individuals who answer the hardest questions within an organization can use the tools they choose. These tools let them investigate a problem, solve it, and move on.

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