- Reference Architectures for Big Data Systems
- Data Platform at Uber
- Data Platform at BMW
- Data Platform at Netflix
- Data Platform at Flipkart
- Data Platform at Coupang
- Data Platform at DoorDash
- Data Platform at Khan Academy
- Data Infrastructure at Airbnb
- Data Infrastructure at LinkedIn
- Data Infrastructure at GO-JEK
- Data Ingestion Infrastructure at Pinterest
- Data Analytics Architecture at Pinterest
- Big Data Processing (2 parts) at Spotify
- Big Data Processing at Uber
- Analytics Pipeline at Lyft
- Analytics Pipeline at Grammarly
- Analytics Pipeline at Teads
- ML Data Pipelines for Real-Time Fraud Prevention at PayPal
- Big Data Analytics and ML Techniques at LinkedIn
- Self-Serve Reporting Platform on Hadoop at LinkedIn
- Privacy-Preserving Analytics and Reporting at LinkedIn
- Analytics Platform for Tracking Item Availability at Walmart
- HALO: Hardware Analytics and Lifecycle Optimization at Facebook
- RBEA: Real-time Analytics Platform at King
- AresDB: GPU-Powered Real-time Analytics Engine at Uber
- AthenaX: Streaming Analytics Platform at Uber
- Delta: Data Synchronization and Enrichment Platform at Netflix
- Keystone: Real-time Stream Processing Platform at Netflix
- Databook: Turning Big Data into Knowledge with Metadata at Uber
- Amundsen: Data Discovery & Metadata Engine at Lyft
- Maze: Funnel Visualization Platform at Uber
- Metacat: Making Big Data Discoverable and Meaningful at Netflix
- SpinalTap: Change Data Capture System at Airbnb
- Accelerator: Fast Data Processing Framework at eBay
- Omid: Transaction Processing Platform at Yahoo
- TensorFlowOnSpark: Distributed Deep Learning on Big Data Clusters at Yahoo
- CaffeOnSpark: Distributed Deep Learning on Big Data Clusters at Yahoo
- Spark on Scala: Analytics Reference Architecture at Adobe
- Experimentation Platform (2 parts) at Spotify
- Experimentation Platform at Airbnb
- Smart Product Platform at Zalando
- Log Analysis Platform at LINE
- Data Visualisation Platform at Myntra
- Building and Scaling Data Lineage at Netflix
- Building a scalable data management system for computer vision tasks at Pinterest
- Structured Data at Etsy
- Scaling a Mature Data Pipeline - Managing Overhead at Airbnb
- Spark Partitioning Strategies at Airbnb
- Scaling the Hadoop Distributed File System at LinkedIn
- Scaling Hadoop YARN cluster beyond 10,000 nodes at LinkedIn
Big Data
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