Actualizando sus habilidades a SQL Server 2017 (MOC 10998)

2 Días

Descripción

Este curso de capacitación dirigido por instructor de dos días está dirigido a profesionales de bases de datos que buscan actualizar sus habilidades para cubrir SQL Server 2017.

Requisitos previos

Además de su experiencia profesional, los estudiantes que asisten a esta capacitación ya deben tener los siguientes conocimientos técnicos:

  • Experiencia en la creación y gestión de soluciones de bases de datos, almacenamiento de datos e inteligencia empresarial (BI) con SQL Server 2016.
  • Familiaridad con el sistema operativo y la red de Windows Server 2016.
  • Familiaridad con Microsoft Office 2016

A quien va dirigido

La audiencia principal de este curso son los profesionales de bases de datos con experiencia en SQL Server 2016 que desean actualizar sus habilidades a SQL Server 2017.
La audiencia secundaria son los MCSA de SQL Server 2016 que desean prepararse para el examen de actualización para la certificación de SQL Server 2017.

Objetivos

Al finalizar el curso

Después de completar este curso, los estudiantes podrán:

  • Describir las capacidades y componentes clave de SQL Server 2017
  • Describir características nuevas y mejoradas en el rendimiento, disponibilidad y escalabilidad de SQL Server • Describir características
  • nuevas y mejoradas en el acceso a datos de SQL Server
  • Describir nuevos y características mejoradas en informes y BI de SQL Server
  • Describa características nuevas y mejoradas en SQL Server OLAP
  • Describa características nuevas y mejoradas de análisis de datos
  • Describa características nuevas y mejoradas en implementaciones de SQL Server Cloud
  • Describa SQL Server en funcionalidad Linux

Temario

Module 1: Introduction to SQL Server 2017

Module Goal: Describe key capabilities and components of SQL Server 2017

Lessons

  • Overview of SQL Server 2017
  • Functionality across versions

After completing this module, students will be able to:

  • Describe the edition scale limits
  • Explain the consistent functionality across versions

Module 2: What’s new in SQL Server Performance, Scalability, and Availability.

This module introduces the performance enhancements provided by Adaptive Query Processing and Automatic Tuning, as well as the scalability and availability enhancements provided by new Availability Group architectures, including Read-Scale Availability Groups and Availability Groups with SQL Server on Linux

Lessons

  • Adaptive query processing
  • Automatic tuning
  • Availability Scalability

Lab : Performance and availability – adaptive query processing

  • Interleaved execution
  • Batch mode memory grant feedback
  • Batch mode adaptive joins

After completing this module, students will be able to:

  • Describe adaptive query processing
  • Describe automatic plan correction
  • Describe availability group architectures
  • Describe always on availability groups for Linux
  • Describe load balancing of readable secondary replicas
  • Describe petabyte-scale data warehousing

Module 3: What’s New in SQL Server data Access

SQL Server 2017 introduces SQL Graph which enables you to define the relationships between your data items in a table rather than calculating them during a query, reducing the query cost and simplifying your data structure.

Lessons

  • SQL Graph

Lab : SQL Graph

  • Create a Graph database
  • Query a Graph database

After completing this module, students will be able to:

  • Describe SQL Graph

Module 4: What’s new in SQL Server Reporting and BI

SQL Server 2017 introduces SQL Graph which enables you to define the relationships between your data items in a table rather than calculating them during a query, reducing the query cost and simplifying your data structure.

Lessons

  • SQL Graph

Lab : SQL Graph

  • Create a Graph database
  • Query a Graph database

After completing this module, students will be able to:

  • Describe SQL Graph

Module 4: What’s new in SQL Server Reporting and BILessons

  • >span class="x-hidden-focus">Power BI report Server
  • Reporting Services update

Lab : Reporting and BI

  • Deploy Power BI report server
  • Add commenting to a report

After completing this module, students will be able to:

  • Explain what Power BI report server is
  • Use Power BI report server
  • Create a Power BI report foe Power BI report server

Module 5: New and Enhanced Features in SQL Server Analysis Services

This module introduces new and enhanced features in SQL Server Analysis Services, with particular emphasis on the tabular data model

Lessons

  • Tabular model updates

Lab : Ragged hierarchies

  • View existing reports
  • Hide blank members

After completing this module, students will be able to:

  • Describe the new features of tabular data models

Module 6: New and Enhanced data Analytics Features

This module introduces new and enhanced data analytics features.

Lessons

  • New and enhanced data analytics features

Lab : Data analytics with Python

  • Enable external script execution
  • Run Python scripts

After completing this module, students will be able to:

  • Describe the new and enhanced data analytics features.

Module 7: What’s new in SQL Server in the Cloud

Organizations want the best value from a mixture of cloud services and their existing investment in on-premises hardware and software. This module covers a comparison between the features of Microsoft Azure SQL Database and Microsoft SQL Server 2017, as well as new features that make it easier for you to migrate databases from on-premises SQL Server instances to Azure SQL Database.

Lessons

  • Azure SQL database features
  • Managed Instances

Lab : Managed instances

After completing this module, students will be able to:

  • Explain the different features available in Azure SQL database and SQL Server 2017
  • Describe Azure managed instances

Module 8: SQL Server on Linux

This module covers the features of SQL Server on Linux, as well as the process for deploying SQL Server on Linux and using Docker

Lessons

  • SQL Server on Linux
  • Deploying SQL Server on Linux

Lab : SQL Server in Docker containers

  • Deploy a SQL Server Docker image
  • Run a SQL Server instance inside a Docker container
  • Connect to a SQL Server Instance running in a Docker container

After completing this module, students will be able to:

  • Describe the features of SQL Server on Linux
  • Describe SQL Server on Linux deployment
  • Deploy SQL server in a Docker container.