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40565 Microsoft Cloud Workshop: Modernizing Data Analytics with SQL Server 2019

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40565 Microsoft Cloud Workshop: Modernizing Data Analytics with SQL Server 2019

$0.00
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Product Description

40565 Microsoft Cloud Workshop: Modernizing Data Analytics with SQL Server 2019 training from Solartech

In this 1-day 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.

At course completion of this Microsoft Cloud Workshop: Modernizing Data Analytics with SQL Server 2019 40565

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 Outline for Microsoft Cloud Workshop: Modernizing Data Analytics with SQL Server 2019 40565

Module 1: Whiteboard Design Session - Modernizing Data Analytics with SQL Server 2019

Lessons

  • 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 2019

Lessons

  • 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

 

 

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