The authors demonstrate the design and use of an environment for quantitative researchers building a market risk simulation first as a basic system and then adding a hypothetical systemic shock.
Bjorn Freeman-Benson suggests “listening” to the code, refactoring it based on various factors such as the defect rate or underperforming services, providing strategies and tools.
Jeff French covers the pros and cons of native app development vs. HTML5 hybrid app development so one can make the right choice based on the needs of his app.
A lively panel discussion with Eric Evans, Duncan DeVore, and Leo Gorodinski, hosted by Mike Feathers, on software architecture improvement, DDD, the ins and outs of microservices and much more.
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.
Chung-Yeung Pang shares from his experience applying MDD and Agile to various projects.
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.
Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.
The authors discuss patterns and technologies needed to scale large enterprise mobile systems, covering handling network connectivity, data reliability and real-time communication.
Stefan Edlich discusses big data systems -Spanner, Presto- and the future of data persistence, data analytics, data formats and of NoSQL/NewSQL in general.
Stefan Tilkov shares entertaining examples of real life architectural disasters in software projects.
Pedro Molina presents the challenges, benefits and limitations creating a cloud-based DSL tool. A demo of such a tool is included.