Tag

big data

Streaming Data with KSQL

From Kafka Streams in Action by Bill Bejeck

This article discusses KSQL, a brand-new open source, Apache 2.0 streaming SQL engine that enables stream processing with Kafka. Basically, it makes it easy to read, write, and process streaming data in real-time, at scale, using SQL-like semantics.

Using Apache Spark with Java


slideshare-using-apache-spark-with-java

By Jean Georges Perrin

Getting up and Running with Spark


slideshare-getting-up-and-running-with-spark

By Jason Kolter

Say Hello to Kafka


slideshare-say-hello-to-kafka

By Dylan Scott

How Streams Relate to Database Tables in Kafka

From Kafka Streams in Action by Bill Bejeck

In this article, we’re going to look deeper into adding state. Along the way, we’ll get introduced to new abstraction, the Ktable, after which we will move further on to discuss how event streams and database tables relate to one another in ApacheKafka (Kstream and Ktable, respectively).

Constructing a Yelling App with Kafka Streams

From Kafka Streams in Action by Bill Bejeck

This article will quickly get you off the ground and show you how Kafka Streams works. We’re going to make a toy application that takes incoming messages and upper-cases the text of those messages, effectively yelling at anyone who reads the message. This application is called the “Yelling Application”.

How can I Improve Data Flow Downstream?


slideshare-how-can-i-improve-data-flow-downstream

By Bill Bejeck

Running Spark: an overview of Spark’s runtime architecture

By Petar Zečević and Marko Bonaći.

This article is excerpted from Spark in Action.

Streaming Data: exactly once processing

By Andrew G. Psaltis

This article was excerpted from the book Streaming Data.

Worker Processes and Executors

From Storm Applied
A worker process consists of one or more executors, with each executor consisting of one or more tasks

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