Subject

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.

Getting up and Running with Spark


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By Jason Kolter

Say Hello to Kafka


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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?


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By Bill Bejeck

Running Spark: an overview of Spark’s runtime architecture

From Spark in Action by Petar Zečević and Marko Bonaći.

When talking about Spark runtime architecture, we can distinguish the specifics of various cluster types from the typical Spark components shared by all. Here we describe typical Spark components that are the same regardless of the runtime mode you choose.

 

Why Should you Embrace the Unified Log?


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By Alexander Dean

Leveraging TensorFlow in Your Projects


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By Nishant Shukla

Making Sense of your Data with Spark GraphX



By Michael S. Malak and Robin East

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