TL;DR; Amazon AuroraはIn-Memory DBでもなくDisk-Oriented DBでもなく、In-KVS DBとでも呼ぶべき新地平に立っている。 その斬新さたるやマスターのメインメモリはキャッシュでありながらWrite-BackでもなくWrite-Throughでもないという驚天動地。 ついでに従来のチェックポイント処理も不要になったのでスループットも向上した。 詳細が気になる人はこの記事をチェキ！ Amazon Aurora Amazon AuroraはMySQL、もしくはPoセキュリティパッチをダウンタイムなしで(!?)適

オーソドックス な アプローチ（一般的手法） まず は、以下 が よくまとまっている。 株式会社クロスコンパス・インテリジェンス（2016.10.5）「NVIDIA TECHNO

Data / MLEngineering Unceember 6, 2017 / Global Accurate time series forecasting during high variance segments (e.g., holidays and sporting events) is critical for anomaly detection, resource allocation, budget planning, and other related tasks itate optimal Uber user experiences at scale. Forecasting the

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Deep Learning for ails such as task or domain-specific considerations are left to the practitioner. This post collects best practices that are relevant for most tasks in itional con

PaxosStore is a distributed-database initially inspired by Google MegaStore. It's the second generation of storage system developed to support current WeChat sevice and applications. PaxosStore has been deployed in WeChat production for more than four years, providing storage services for the core businesement, user relationship management (i.e., c

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Inputs activating different neurons in a neural ai team, used with permission) You’ve probably heard by now that gorithms can use big data to predict whether a donor will give to a charity, whether an infant in a NICU will develop sepsis, whether a customer will respond to an ad, and on and on.

Understanding the backward pass through Batch Nity, called CS231n - Convolutional Neural ition, held by Andrej Ka

Sophia is advanced transactional MVCC key-value/row storage library. How does it differ from other storages? Sophia is RAM-Disk hybrid storage. It is designed to provide best possible on-disk perfithout degradation in time. It has guaranteed O(1) worst case complexity for read, write and range scan operations. It adopts to expected write rate, total capacity and cache size. Memory require