Subject

Big Data

Build a Full-Featured Data Solution


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From Fusion in Action by Guy Sperry

What Happens behind the Scenes with Spark

From Spark with Java by Jean Georges Perrin

You’ve probably seen a simple use-case where Spark ingests data from a CSV file, then performs a simple operation, and then stores the result in the database. In this article, you’re going to see what happened behind the scenes.

Privacy, Twitter, and Machine Learning: six questions with Andrew Trask

Privacy, Twitter, and Machine Learning

With Andrew Trask, author of Grokking Deep Learning

Andrew Trask is a researcher pursuing a Doctorate at Oxford University, where he focuses on Deep Learning with an emphasis on human language. He is also a leader at OpenMined.org, an open-source community of researchers and developers working on creating free and accessible tools for secure AI. Previously, Andrew was analytics product manager at Digital Reasoning, where he trained the world’s largest artificial neural network (with over 160 billion parameters) and helped guide the analytics for the Synthesys cognitive computing platform, which tackles problems in government intelligence, finance, and healthcare. Grokking Deep Learning is his first book.

Find Andrew online at his blog (iamtrask.github.io) and @iamtrask on Twitter.

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).

© 2019 Manning — Design Credits