Apache Flink

Apache Flink Series 1 — What is Apache Flink

Analytics Vidhya

In this post, I will try to explain what is Apache Flink, what is used for, and features of Apache Flink. Before pass the “use cases for Apache Flink”, let me point to the what does the stateful…

Flink Checkpointing and Recovery

Towards Data Science

Apache Flink is a popular real-time data processing framework. It’s gaining more and more popularity thanks to its low-latency processing at extremely high throughput in a fault-tolerant manner…

An Introduction to Stream Processing with Apache Flink

Towards Data Science

An Introduction to Stream Processing with Apache Flink

Apache Flink Series 4 — DataStream API

Analytics Vidhya

When we look at the Flink as a software, Flink is built as layered system. And one of the layer is DataStream API which places top of Runtime Layer. close()= is an finalization method. It is called…

Running Apache Flink with RocksDB on Azure Kubernetes Service

Towards Data Science

Recently I was looking into how to deploy an Apache Flink cluster that uses RocksDB as the backend state and found a lack of detailed documentation on the subject. I was able to piece together how to…...

Building a realtime dashboard with Flink: The Backend

Towards Data Science

With the demand for “realtime” low latency data growing more data scientists will likely have to become familiar with streams. One good place to start is Apache Flink. Flink is a distributed…

Building a Credit Card Fraud Detection Online Training Pipeline with River ML and Apache Flink

Towards Data Science

In this tutorial, we will go over writing real time python Apache Flink applications to train an online model Continue reading on Towards Data Science

Real-time Twitch chat sentiment analysis with Apache Flink

Towards Data Science

Real-Time Twitch Chat Sentiment Analysis with Apache Flink Learn how to empower creators by real-time sentiment analysis with Apache Flink to decipher audience emotions to steer content for viewer sa...

Apache Flume

Towards Data Science

Trickle-feed unstructured data into HDFS using Apache Flume

The Foundations for Building an Apache Flink Application

Analytics Vidhya

Our monolith solution does not cope with the increased load of incoming data, and thus it has to evolve. This is the time for the next generation of our product. Stream processing is the new data…

How I Dockerized Apache Flink, Kafka, and PostgreSQL for Real-Time Data Streaming

Towards Data Science

Integrating pyFlink, Kafka, and PostgreSQL using Docker Get your pyFlink applications ready using docker — author generated image using https://www.dall-efree.com/ Why Read This? * Real-World Insight...

Apache Spark — Fast and Furious.

Analytics Vidhya

Apache Spark is a data processing framework that can quickly perform processing tasks on very large data sets, and can also distribute data processing tasks across multiple computers, either on its…