Subject

Big Data

PyTorch Crash Course, Part 1

From Deep Learning with PyTorch by Eli Stevens and Luca Antiga

This article introduces you to PyTorch and discusses why you might want to use it in your deep learning projects.

Crunching Data with Dask


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From Data Science at Scale with Python and Dask
By Jesse C. Daniel

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


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From Spark with Java
By Jean Georges Perrin

Getting up and Running with Spark


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From Spark in Motion
By Jason Kolter

Say Hello to Kafka


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From Kafka in Action
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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From Kafka Streams in Action
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.

 

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