How Taboola Powers the Conversion Data Pipe
When you set out to build the world’s largest content recommendation platform that performs to ...
Data & Analytics
59 Articles
Sneaky Peak to The Secrets of Kafka Assignment Strategy
Something strange happened while I worked with Kafka. While adding a new consumer from Kafka ...
Our Deployment Process: How Taboola Manages Servers for Your Recommendations
There are more than 350 developers at Taboola, and each day dozens of changes are ...
Samplex: Scale Up Your Spark Jobs
Using Samplex to Scale Up your Spark Jobs When I encountered Taboola’s data a few ...
ScORe – Schema On Read for Spark SQL
The world is not flat, it’s highly nested With over 4 billion page views per ...
The Challenges Of Uploading 150TB/day From Spark To BigQuery – Part 2
In part 1 of the series we shared the architecture of Taboola’s PV2Google service which ...
The Challenges Of Uploading 150TB/day From Spark To BigQuery – Part 1
Have you ever tried building an infrastructure to upload 150TB a day? Have you ever ...
Anomaly detection using LSTM with Autoencoder
Taboola is one of the largest content recommendation companies in the world. We maintain hundreds ...
Fear of breaking production? Use Grafana!
In Taboola, we deal with scale, huge scale. A small issue might turn into a ...
Growing by Learning – DIY
To facilitate flexibility and technological hype, you want to work with people who know how ...
‘Tis the Season: Fun with (Decision) Trees
At Taboola, we work daily on improving our Deep-Learning-based content-recommendation model. We use it to ...
Monitoring and Metering at Scale
In this blogpost I will describe how we, at Taboola, changed our metrics infrastructure twice ...