Lyft Engineering

APRIL 3, 2023

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

Systems Pipeline-centric Machine Learning Transportation 87

U-Next

AUGUST 17, 2022

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.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Netflix Tech

JANUARY 10, 2024

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. This architecture shift greatly reduced the processing latency and increased system resiliency. This introductory blog focuses on an overview of our journey. We moved from centralized linear encoding to distributed chunk-based encoding.

Process 91

Process Pipeline-centric Media Metadata 91

Knowledge Hut

DECEMBER 26, 2023

Automating data analytics techniques and processes has led to the development of mechanical methods and algorithms used over raw data. The ML algorithms we use to process the data are also quite large; it's not just big data. It is one of the data science future trends.

Data Science 52

Data Science Database-centric Pipeline-centric Data Mining 52

Picnic Engineering

DECEMBER 19, 2023

The end of 2022 marked the beginning of our journey in enhancing Developer Effectiveness, a key initiative for 2023. This approach not only helps in maintaining system stability but also in predicting potential issues, enabling proactive measures. Join us and have a read! January: Year of OpsEx and DevEx ?‍?

Transportation 52

Transportation Pipeline-centric Database-centric Python 52

Cloudera

NOVEMBER 15, 2021

Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. Less will be analysed. Data annotation. Conclusions.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

Databand.ai

DECEMBER 20, 2022

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. She regularly spreads he knowledge on her YouTube but you can catch her fitness tips on Instagram.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52