Go Conference 2019 Spring

Go Conference 2019 Spring
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You might think that if you are programming in Java, what do you need to know about how memory works? Java has automatic memory management, a nice and quiet garbage collector that works in the background to clean up the unused objects and free up some memory. Therefore, you as a Java programmer do not need to bother yourself with problems like destroying objects, as they are not used anymore. Howe
The JVM can be a complex beast. Thankfully, much of that complexity is under the hood, and we as application developers and deployers often don't have to worry about it too much. With the rise of container-based deployment strategies, one area of complexity that needs some attention is the JVM's memory footprint. Two kinds of memory The JVM divides its memory into two main categories: heap memory
Java memory management is an ongoing challenge and a skill that must be mastered to have properly tuned applications that function in a scalable manner. Fundamentally, it is the process of allocating new objects and properly removing unused objects. Get ready for a deep dive! In this article, we will be discussing Java Virtual Machine (JVM), understanding memory management, memory monitoring tools
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Differential Data Quality Verification on Partitioned Data Sebastian Schelter, Stefan Grafberger, Philipp Schmidt, Tammo Rukat, Mario Kiessling, Andrey Taptunov, Felix Biessmann, Dustin Lange Abstract Modern companies and institutions rely on data to guide every single decision. Missing or incorrect information seriously compromises any decision process. In previous work, we presented Deequ, a Spa
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This presentation describes the reasons why Facebook decided to build yet another key-value store, the vision and architecture of RocksDB and how it differs from other open source key-value stores. Dhruba describes some of the salient features in RocksDB that are needed for supporting embedded-storage deployments. He explains typical workloads that could be the primary use-cases for RocksDB. He al
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Since we introduced Airbnbâs Data University, the program has continued to thrive and evolve. One improvement has been the addition of team-specific trainings with content tailored to the work of that team. In this post, we describe the impact of this addition and the lessons learned in its implementation. What is Data University?Data University is Airbnbâs dynamic data education program, with the
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by Hal Daumé III Machine learning is the study of algorithms that learn from data and experience. It is applied in a vast variety of application areas, from medicine to advertising, from military to pedestrian. Any area in which you need to make sense of data is a potential consumer of machine learning. CIML is a set of introductory materials that covers most major aspects of modern machine learni
This is the supporting wiki for the book The Hundred-Page Machine Learning Book by Andriy Burkov. The book is now available on Amazon and most major online bookstores. The wiki contains pages that extend some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources. This book is distributed on the âread first, buy laterâ principle. I stron
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