Presentation: Gimel: Commoditizing Data Access
Share this on:
Abstract
Accessing data across a multitude of data stores is extremely fragile and complicated. To address this issue, we built a unified data processing platform at PayPal called Gimel. In this short talk I will introduce you to Gimel's compute platform and data platform and give an overview of how PayPal's data scientists, analysts and developers are taking advantage of Gimel using GSQL and PayPal Notebooks.
2019 Tracks
-
Solving Software Engineering Problems with Machine Learning
Interesting machine learning use cases changing how we develop software today, including planned topics touching on infrastructure optimization, developer experience, security, and more.
-
Predictive Architectures in the Real World
Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.
-
Groking Timeseries & Sequential Data
Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.
-
Deep Learning in Practice
Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.
-
AI Meets the Physical World
Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.
-
Papers in Production: Modern CS in the Real World
Groundbreaking papers make real-world impact.