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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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The Rise of Unstructured Data

Cloudera

This blog discusses quantifications, types, and implications of data. Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022. The word “data” is ubiquitous in narratives of the modern world. Quantifications of data. Less will be analysed.

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Data Engineer Roles And Responsibilities 2022

U-Next

Introduction to 2022 Data Engineer Roles and Responsibilities. Data Engineers create a system that gathers, handles, and transforms unprocessed data into useful information that data researchers and Data Analysts may use to evaluate it in several contexts. . Companies and enterprises, large and small, are built on data.

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Kickstart Your 2023 with these 6 Articles – The Meltano Teams Favorite Data Articles of 2022

Meltano

A curated list of the top 9 must read blogs on data. At the end of 2022 we decided to collect the blogs we enjoyed the most over the year. The data world is in turmoil and lots of exciting things happen every day, week and year. Happy reading! Happy reading!

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Rebuilding Netflix Video Processing Pipeline with Microservices

Netflix Tech

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process.

Process 91
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Snowpark Offers Expanded Capabilities Including Fully Managed Containers, Native ML APIs, New Python Versions, External Access, Enhanced DevOps and More

Snowflake

It provides familiar APIs for various data centric tasks, including data preparation, cleansing, preprocessing, model training, and deployments tasks. In the warehouse model, users can seamlessly run and operationalize data pipelines, ML models, and data applications with user-defined functions (UDFs) and stored procedures (sprocs).

Python 52
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2023 in a nutshell —ride along!

Picnic Engineering

In this blog, we’d like to give you a glimpse into some of the major developments in Picnic Tech in 2023. The end of 2022 marked the beginning of our journey in enhancing Developer Effectiveness, a key initiative for 2023. Join us and have a read! January: Year of OpsEx and DevEx ?‍? May: Redesigning our Picnic App Back-end ?