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The Recommendation System at Lyft

Lyft Engineering

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. Introduction: Scope of the Recommendation System The recommendation system covers user experiences throughout the ride journey.

Systems 87
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Data Engineering Weekly #161

Data Engineering Weekly

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 3) DataOPS at AstraZeneca The AstraZeneca team talks about data ops best practices internally established and what worked and what didn’t work!!!

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Transforming MLOps at DoorDash with Machine Learning Workbench

DoorDash Engineering

It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts. Setting an initial ambitious goal to drive model development velocity, we soon assembled a team that included both design and engineering.

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Data Lineage Tools: Key Capabilities and 5 Notable Solutions

Databand.ai

Data lineage tools provide a visual representation of your data’s journey across multiple systems and transformations. This feature is particularly useful in complex data architectures, where data may pass through multiple systems and transformations.

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Building for Inclusivity: The Technical Blueprint of Pinterest’s Multidimensional Diversification

Pinterest Engineering

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Likewise in closeup recommendations, we added an additional diversification objective to the existing DPP Node as the final step in our blending pipeline prior to returning ranked results.

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Data Engineering Weekly #125

Data Engineering Weekly

Meta: Presto - A Decade of SQL Analytics at Meta Presto and Kafka are the two systems that greatly impacted data infrastructure in the last decade. As with any good system, Presto went through many optimizations. There are some interesting threads on Twitter, but the highlight for me is the design of the Tweet search system.

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Data Engineering Weekly #127

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Watch On-demand Niels Claeys: Use dbt and Duckdb instead of Spark in data pipelines AWS u-24tb1.metal