#vs #apache_spark #apache_storm #apache_flink #hadoop
http://www.metistream.com/comparing-hadoop-mapreduce-spark-flink-storm/
http://www.metistream.com/comparing-hadoop-mapreduce-spark-flink-storm/
MetiStream
Comparing Hadoop, MapReduce, Spark, Flink, and Storm - MetiStream
An overview of key big data technologies such as Hadoop, Mapreduce, Apache Spark, Flink and Apache Storm and appropriate use case examples for each.
#processing_engine #apache_storm #apache_spark #apache_flink #samza #overview #vs #usecase
https://www.youtube.com/watch?v=ZWez6hOpirY
https://www.youtube.com/watch?v=ZWez6hOpirY
YouTube
Scalable Stream Processing: A Survey of Storm, Samza, Spark and Flink by Felix Gessert
Batch-oriented systems have done the heavy lifting in data-intensive applications for decades, but they do not reflect the unbounded and continuous nature of data as it is produced in many real-world applications. Stream-oriented systems, on the other hand…
#microservices #akka #apache_kafka #apache_spark #apache_flink
https://www.youtube.com/watch?v=gF8v51i6Y1c
https://www.youtube.com/watch?v=gF8v51i6Y1c
YouTube
Bootstrapping Microservices using Akka, Kafka ans Spark by Alex Silva
This talk was recorded at Scala Days Chicago, 2017. Follow along on Twitter @scaladays and on the website for more information http://scaladays.org/.
Abstract:
Compared to a traditional analysis-centric data hub, today's data platforms need to fulfill many…
Abstract:
Compared to a traditional analysis-centric data hub, today's data platforms need to fulfill many…
#apache_flink #vs
https://hackernoon.com/what-makes-apache-flink-the-best-choice-for-streaming-applications-fc377858a53?gi=6058ccd17304
https://hackernoon.com/what-makes-apache-flink-the-best-choice-for-streaming-applications-fc377858a53?gi=6058ccd17304
Hacker Noon
What Makes Apache Flink the Best Choice for Streaming Applications?
Apache Flink is an open source streaming platform which provides you tremendous capabilities to run real-time data processing pipelines in…
#apache_flink #java #scala #streaming #stream #cep
http://www.adaltas.com/en/2018/11/05/apache-flink-past-present-and-future/
http://www.adaltas.com/en/2018/11/05/apache-flink-past-present-and-future/
Adaltas
Apache Flink: past, present and future - Adaltas
Apache Flink is a little gem which deserves a lot more attention. Let’s dive into Flink‘s past, its current state and the future it is heading to by following the keynotes and presentations at Flink Forward 2018. Apache Flink is an in memory streaming engine. …
#ml #apache_beam #tfx #tensorflow #airflow #apache_flink #python #java #scala #team #google #apache_spark #dataflow
https://www.youtube.com/watch?v=6p8UXjNg1oc
https://www.youtube.com/watch?v=6p8UXjNg1oc
YouTube
Apache Beam for Production Machine Learning: TensorFlow Extended (Beam Summit Europe 2019)
Developing ML and deep learning applications to be deployed in production is much more than just training a model. Google has taken years of experience in de...
#ml #apache_beam #tfx #tensorflow #airflow #apache_flink #python #java #scala #team #google #apache_spark #dataflow #pipeline
https://www.youtube.com/watch?v=v1DrnY8caVU
https://www.youtube.com/watch?v=v1DrnY8caVU
YouTube
End-to-End ML pipelines with Beam, Flink, TensorFlow, and Hopsworks (Beam Summit Europe 2019)
Apache Beam is a key technology for building scalable End-to-End ML pipelines, as it is the data preparation and model analysis engine for TensorFlow Extended (TFX), a framework for horizontally scalable Machine Learning (ML) pipelines based on TensorFlow.…