[Pluralsight] Optimizing Microsoft Azure Data Solutions [2020, ENG]

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Post 24-Mar-2020 23:35

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Optimizing Microsoft Azure Data Solutions
Год выпуска: 2020
Производитель: Pluralsight
Сайт производителя: www.Pluralsight.com
Автор: John Savill
Продолжительность: 2h 43m
Тип раздаваемого материала: Видеоклипы
Язык: Английский
Описание: Azure has a vast array of data services, and in this course you'll explore a number of key areas that will help maximize the utilization of those data services and enable your organization to get the most out of its cloud data service spend.
Azure имеет широкий спектр сервисов данных, и в этом курсе вы изучите ряд ключевых областей, которые помогут максимально эффективно использовать эти сервисы данных и позволят вашей организации получить максимальную отдачу от затрат на облачные сервисы данных.
This course is part of:
Microsoft Azure Data Engineer (DP-200) Path
Monitoring and Managing Microsoft Azure Data Solutions Path

Содержание

Course Overview 1m 13s Course Overview 1m 13sCore Optimization Concepts 22m 50s Module Introduction 1m 23s Why Is This Important? 1m 27s Consumption in the Cloud 5m 48s What Is Optimization in the Cloud? 2m 6s Common Types of Optimization 7m 55s Data Partioning 3m 41s Module Summary 27sOptimizing Azure SQL Database and Azure Synapse Analytics 1h 20m 25s Module Introduction 44s Azure SQL Database Offerings 5m 52s DTU vs. vCore 2m 19s Core Azure SQL Database Offerings 5m 36s Performance Impact of General Purpose vs. Business Critical 5m 45s Serverless and Hyperscale 8m 11s Database Sharding 4m 48s Indexing and Tuning 12m 5s Query Optimization 12m 50s Optimizing with In-memory Tables and Compression 5m 38s Azure Synapse Analytics Offerings 3m 7s Azure Synapse Analytics Scale 1m 55s Azure Synapse Analytics Compute Offerings 1m 55s Optimizing Data Loading 5m 41s Other Azure Data Loading Best Practices 3m 23s Module Summary 30sOptimizing Azure Cosmos DB 37m 32s Module Introduction 26s Request Units 9m 15s Cosmos DB Partitions 4m 37s Picking the Partition Key 4m 43s Architecting Data Layout 4m 45s Duplicating Data and the Change Feed 4m 21s Other Optimization Considerations 8m 40s Module Summary 41sOptimization Considerations for Data Services 21m 6s Module Introduction 26s Azure Data Lake Storage Tuning 5m 9s HDInsight Optimization 5m 48s Azure Stream Analytics Optimization 9m 12s Module Summary 29s
Файлы примеров: присутствуют
Формат видео: MP4
Видео: MPEG4 Video (H264) 1280x720 30fps 243kbps [V: ETI ISO Video Media Handler (h264 high L3.1, yuv420p, 1280x720, 243 kb/s)]
Аудио: AAC 48000Hz stereo 96kbps [A: ETI ISO Audio Media Handler [eng] (aac lc, 48000 Hz, stereo, 96 kb/s)]

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Доп. информация: Level Intermediate
Duration 2h 43m
Updated 19 Feb 2020
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