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Flink  Content on InfoQ rss

News about Flink rss

Cloud Follow 330 Followers Netflix Keystone Real-Time Stream Processing Platform by Alex Giamas Follow 10 Followers Posted on Sep 30, 2018

Followers Mahout to Get Self-Optimizing Matrix Algebra Interface with Pluggable Backends for Spark and Flink by Mikio Braun Follow 0 Followers Posted on Nov 21, 2014

Presentations about Flink rss

AI, ML & Data Engineering Follow 990 Followers Streaming SQL Foundations: Why I ❤Streams+Tables by Tyler Akidau Follow 1 Followers Posted on Feb 17, 2018 Tyler Akidau explores the relationship between the Beam Model and stream & table theory. He explains what is required to provide robust stream processing support in SQL and discusses concrete efforts that have been made in this area by the Apache Beam, Calcite, and Flink communities, compared to other offerings such as Apache Kafka’s KSQL and Apache Spark’s Structured streaming.

AI, ML & Data Engineering Follow 990 Followers Streaming for Personalization Datasets at Netflix by Shriya Arora Follow 0 Followers Posted on Jul 26, 2017 Shriya Arora talks about the experiences Netflix’s Personalization Data team had in stream processing unbounded datasets and provides guidance on how to determine whether a streaming solution is a right fit for our problem. She compares microbatch vs event-based approaches with Apache Spark and Apache Flink and discusses the impact moving to stream processing had on the team, the challenges faced.

AI, ML & Data Engineering Follow 990 Followers Apache Beam: The Case for Unifying Streaming APIs by Andrew Psaltis Follow 0 Followers Posted on Jul 30, 2016 Apache Beam aims to provide a unified stream processing model along with a set of language-specific SDKs for defining and executing complex data processing, data ingestion and integration workflows. This will simplify how we implement and think about large-scale batch and streaming data processing. Pipelines can be run on Apache Flink, Apache Spark, and Google Cloud Dataflow with more to come.

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