Beginner must-see! A future that can be opened by learning HadoopDataWorks Summit
What is "Hadoop" now? It is difficult to hear ... But those who are interested, those who are thinking about the future as active as a data engineer, those who are new to the first time, through introductions of Hadoop and the surrounding ecosystem, introducing merits and examples, "What now Should I learn? "And I will introduce the future spreading through learning Hadoop and the surrounding ecosystem.
REALITYアバターを様々なメタバースで活躍させてみた - GREE VR Studio Laboratory インターン研究成果発表gree_tech
The document outlines the research presentations from an internship program at GREE VR Studio Laboratory. The presentations covered topics like motion capture techniques that could be used in metaverses, generating emotive expressions from sound, and representing metaverses using augmented reality. One presentation proposed a way for users to virtually travel the world together by exploring street view locations and taking photos with their avatars.
The document discusses a quality improvement project at Reality Inc. to reduce app startup time. It began with measuring startup sequences on iOS and Android to identify bottlenecks. This showed networking requests and initializing distributions were slow. Performance was then measured in user environments using Firebase and GCP tools. Startup times of over 6 seconds were found. The project aims to parallelize processes, remove unnecessary tasks, and speed up networking to reduce startup time through ongoing measurement and optimization.
This document introduces two operational support tools for making Cloud Spanner more convenient: Spanner Warming Guy and Spanner Up-Down Guy.
Spanner Warming Guy is a tool that performs warmup of Cloud Spanner before releases. It can add load to Spanner through SELECT queries alone and automatically adjusts the number of SELECT bots.
Spanner Up-Down Guy is a tool that auto-scales the number of nodes in Cloud Spanner. It periodically executes Cloud Functions to adjust the node count according to a pre-defined schedule or the load situation. It can gradually decrease nodes to reduce costs.