Курс "40565 Microsoft Cloud Workshop: модернизация аналитики данных с помощью SQL Server 2019 (40565 Microsoft Cloud Workshop: Modernizing Data Analytics with SQL Server 2019)"
Код: 40565
Специализация: Microsoft SQL Server 2019
Продолжительность - 1 день
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| 7 ноября 2023 года (Москва) |  |
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| 7 мая 2024 года (Москва) | |
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| 8 ноября 2024 года (Москва) | |
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| Стоимость: | 9 000 руб. |
About This Course
In this workshop, you will gain a better understanding of how new features of SQL Server 2019 enables more Big Data and analytics capabilities through the use of Big Data Clusters, data virtualization and orchestration, query processing enhancements, and through better scalability through distributed storage and compute.Audience Profile
This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the ‘About this Course’ and ‘At Course Completion’ areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.Программа курса
At the end of this workshop, you will be better able:- Design a modernization plan for performing Big Data analytics using SQL Server 2019 capabilities
- Build solutions for conducting advanced data analytics with scalable SQLServer2019 Big Data clusters
Course OutlineModule 1: Whiteboard Design Session - Modernizing Data Analytics with SQL Server 2019Lessons
- Review the customer case study
- Design a proof of concept solution
- Present the solution
Module 2: Hands-On Lab - Modernizing Data Analytics with SQL Server 2019Lessons
- Using data virtualization
- Using notebooks
- Machine learning
- Identify PII and GDPR-related compliance issues using Data Discovery & Classification in SSMS
- Exploring intelligent query processing (QP) features
- Monitoring the big data cluster
В конце обучения на курсе проводится итоговая аттестация в виде теста или на основании оценок за практические работы, выполненных в процессе обучения.