Data

Building a Modern Data Platform on AWS Glue at Hootsuite

Inbox: Powering our Front-End through a Data-Driven Model

Setting up a Machine Learning Framework for Production

Here at Hootsuite we’re always looking for better ways to utilize our time and new technology. That’s why we’re looking at building an environment that helps developers leverage machine learning (ML) in production and minimize the…

Row Stores vs. Column Stores: Why not use both?

Datalab is an internal analytics team that powers data-driven decisions at Hootsuite. We build internal tools, data pipelines, and warehouses for other teams and analysts around the company. When I started on datalab and got introduced to all the…

Leveraging Machine Learning to Rank Buying Intent

Over the past two months, I’ve had the chance to work on Hootsuite’s Amplify team to implement a system for detecting buying intent in tweets, in order to help Amplify users track prospective customers. While traditionally Amplify has relied on…

5 Technologies We Have Used At Hootsuite to Build a Flexible Distributed Data PipeLine

Background:

On the datalab team at Hootsuite, we help the rest of the company make data driven decisions. A big part of this is the collection of…

[Infographic] — Lessons of a Failed A/B Test

About the Author

Our Path from Monolith to Microservices

How our Lack of SQL Joins and Foreign Keys Aided Us in Our Journey

“We don’t have foreign keys in our databases at Hootsuite.”

How to Build a Service Oriented Data Pipeline

Has this happened to you?: An Account Manager comes to you in a panic. They’ve just lost their most important client, but the Account Manager had no idea they weren’t happy, as they had no insight into how the client was actually using the product…

Processing Big Data with a Micro-Service-Inspired Data Pipeline

You aren’t truly ready for a career in Big Data until you have everyone in the room cringing from the endless jargon you are throwing at them. Everyone in tech is always trying to out-impress one another with their…