article thumbnail

Scalable Annotation Service?—?Marken

The Netflix TechBlog

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. All data should be also available for offline analytics in Hive/Iceberg. creators of promotional media (aka trailers, banner images) to improve their workflows.

article thumbnail

Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. Grail solves this scalability issue!

Analytics 238
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility. When Reloaded was designed, we focused on a single use case: converting high-quality media files (also known as mezzanines) received from studios into compressed assets for Netflix streaming.

article thumbnail

Designing Instagram

High Scalability

User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. media search index, locations search index, and so forth) in future. For instance, the LikeEvent can be read by the Media Counter Service and is used to update the media count in the data storage.

Design 334
article thumbnail

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321
article thumbnail

Real-Time Digital Twins: A New Approach to Streaming Analytics

ScaleOut Software

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

article thumbnail

Real-Time Digital Twins: A New Approach to Streaming Analytics

ScaleOut Software

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.