The authors take a deep dive into the history of NoSQL at Amazon.com, from the world of relational databases to the Dynamo days to the world of managed services like DynamoDB.
Gareth Rushgrove explores patterns and practices useful to implement continuous integration in an infrastructure-as-code environment.
Ryan Cromwell introduces Elixir, a , functional distributed meta programming language inspired by Ruby and compiling to Erlang VM, covering pattern matching, pipelines and tail-call recursion.
Chung-Yeung Pang shares from his experience applying MDD and Agile to various projects.
Seth Juarez introduces the nuML machine learning library, addressing the clustering issue in .NET applications by focusing on recommendation engines and anomaly detection.
Bryan Nehl makes an introduction to the data science: data formats, ETL tools, NoSQL databases, languages, libraries, techniques and approaches for exploring data and extracting value from it.
Rupert Scofield explains how to build, motivate, and manage a team that both embraces the mission and delivers financial results, how to mitigate risk, and how to solve interpersonal conflicts.
Craig Walls presents some of the features supported in Spring 4 including WebSockets, REST controllers, conditional configuration, ordered list injection, compatibility with Java 8 and Java EE 6&7.
Stephen Chin shows how to use lambda in Java to create a video game with JavaFX. Other features covered are: enhanced collections, functional interfaces, simplified event handlers, and the stream API.
Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.
Tore Martin Hagen shares from his experience on how to compile and build software for multiple hardware platforms.