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Posted by
Neha Pawar
on
Aug 16, 2023
Speed of Apache Pinot at the Cost of Cloud Object Storage with Tiered Storage
Neha Pawar discusses how to query data on the cloud directly with sub-seconds latencies, diving into data fetch and optimization strategies, challenges faced and learnings.
on Aug 16, 2023Icon43:39 -
Posted by
Riccardo Terrell
on
Sep 29, 2019
Real-Time Stream Analysis in Functional Reactive Programming
Riccardo Terrell discusses about a reactive approach to application design, and how to account for handling events in near real time employing the Functional Reactive Programming paradigm.
on Sep 29, 2019Icon41:39 -
Posted by
Peer Stritzinger
on
Aug 28, 2018
Real-Time Functional Reactive Programming with Erlang
Peer Stritzinger, Kilian Holzinger discuss and show cyber-physical systems implemented with FRP-Erlang running on GRiSP, a bare-metal board running Erlang.
on Aug 28, 2018Icon43:56 -
Posted by
Raghav Ramesh
on
Aug 22, 2018
Engineering Systems for Real-Time Predictions @DoorDash
Raghav Ramesh presents DoorDash’s thoughts on how to structure ML systems in production to enable robust and wide-scale deployment of ML, and shares best practices in designing engineering tooling.
on Aug 22, 2018Icon33:20 -
Posted by
Mikhail Kourjanski
on
Aug 22, 2018
ML Data Pipelines for Real-Time Fraud Prevention @PayPal
Mikhail Kourjanski focuses on the architectural approach towards PayPal’s real-time service platform that leverages ML models, delivers performance and quality of decisions.
on Aug 22, 2018Icon55:07 -
Posted by
Mikhail Kourjanski
on
May 31, 2018
Real-Time Data Analysis and ML for Fraud Prevention
Mikhail Kourjanski addresses the architectural approach towards the PayPal internally built real-time service platform, which delivers performance and quality of decisions.
on May 31, 2018Icon48:55 -
Posted by
Mikhail Kourjanski
on
May 23, 2018
Data Pipelines for Real-Time Fraud Prevention at Scale
Mikhail Kourjanski discusses the architecture of PayPal’s data service which combines a Big Data approach with providing data in real time for decision making in fraud detection.
on May 23, 2018Icon49:58 -
Posted by
Javier Lozano
on
Mar 16, 2018
Adding Real-Time Features to Your Applications with SignalR
Javier Lozano introduces SignalR and covers the features and approaches SignalR offers on both client and server sides.
on Mar 16, 2018Icon56:21 -
Posted by
Marcelo Wiermann
on
Mar 10, 2018
Real-Time Data Activation - Analytics, Intelligence & Decision Making
Marcelo Wiermann discusses dealing with real-time analytics with the Lambda Architecture, creating a working data set and data-driven features in an application.
on Mar 10, 2018Icon37:28 -
Posted by
Serhat Yilmaz
on
Feb 28, 2018
Data Decisions with Real-Time Stream Processing
Serhat Yilmaz talks about how Facebook is using stream processing at scale, the difficulties they have encountered and the solutions they have created to date.
on Feb 28, 2018Icon49:35 -
Posted by
Mahish Singh
on
Sep 08, 2017
Enabling High Performance Real-time Analytics for IoT Environments
Mahish Singh discusses how to use methodologies during design, development, deployment and operation for delivery of analytics platforms which offer real-time SLAs.
on Sep 08, 2017Icon38:11 -
Posted by
Saurabh Pathak
on
Jun 06, 2017
Real-Time & Personalized Notifications @Twitter
Gary Lam and Saurabh Pathak talk about the hybrid push/pull-based architecture adopted by Twitter Notification platform.
on Jun 06, 2017Icon50:56