Moving back and forth between batch and stream processing (Google Cloud Next '17)
Stream processing is now the default way to ingest and analyze data. In this video, Tyler Akidau and Loic Jaures describe the model that makes this possible, efficient and easy. They also show you that model in action, by presenting how Teads processes 30 billion streaming events per day.
Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
Видео Moving back and forth between batch and stream processing (Google Cloud Next '17) канала Google Cloud Platform
Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
Видео Moving back and forth between batch and stream processing (Google Cloud Next '17) канала Google Cloud Platform
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Processing data at scale with Google Cloud Bigtable, Dataflow, and Dataproc (Google Cloud Next '17)Event Time in Apache Flink Stream Processing | Whiteboard WalkthroughBuilding high performance microservices with Kubernetes, Go, and gRPC (Google Cloud Next '17)GOTO 2016 • What I Wish I Had Known Before Scaling Uber to 1000 Services • Matt RanneyKSQL Streams and Tables | Level Up your KSQL by ConfluentWhat are Graph Databases and Why should I care? - Dave BechbergerTensor Processing Units: History and Hardware (AI Adventures)Advanced Apache Spark Training - Sameer Farooqui (Databricks)GOTO 2017 • How to Take Great Engineers & Make Them Great Technical Leaders • Courtney HemphillGOTO 2012 • Introduction to NoSQL • Martin FowlerAn overview of Cloud IoT Core (Google I/O '18)Functional Data Engineering - A Set of Best Practices | LyftSpinnaker: continuous delivery from first principles to production (Google Cloud Next '17)"Apache Kafka and the Next 700 Stream Processing Systems" by Jay KrepsHow to Write Batch or Streaming Data Pipelines with Apache Beam in 15 mins with James MaloneServerless data processing with Google Cloud Dataflow (Google Cloud Next '17)Apache Beam: Portable and Parallel Data Processing (Google Cloud Next '17)Building Streaming Microservices with Apache Kafka - Tim BerglundSupercharge performance using GPUs in the cloud (Google Cloud Next '17)ETL Is Dead, Long Live Streams: real-time streams w/ Apache Kafka