This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases.
This training will help you prepare for exam DP-300
By passing this exam you will earn the new Microsoft Certified: Azure Database Administrator Associate certification.
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Prerequisites |
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
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Target audience |
Job role: Database Administrator
The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications.
Module 1: The Role of the Azure Database Administrator
This module explores the role of a database administrator in the world of Azure. It also provides some foundational information relevant to the overall content. This includes a review of the various SQL Server-based options (SQL Server in a VM, Managed Instances, and Azure SQL Database.) Students will learn why compatibility level is a crucial concept when working with SQL databases in Azure. Students are also introduced to other database platforms available on Azure in addition to those based on SQL Server, in particular PostgreSQL and MySQL
Module 2: Plan and Implement Data Platform Resources
This module introduces methods for deploying data platform resources in Azure. You will learn about options for both upgrading and migrating existing SQL databases to Azure. You will learn how to set up Azure resources to host SQL Server on a Virtual Machine, a Managed Instance, Azure SQL Database and either PostgreSQL or MySQL. You will learn how to determine which options are best based on specific requirements including the High Availability and Disaster Recovery (HADR) needs. They will learn to calculate resource requirements and create templates for their deployments.
Module 3: Implement a Secure Environment
This module explores the practices of securing your SQL Server Database as well as an Azure SQL database. This includes a review of the various SQL Server-based options as well as the various Azure options for securing Azure SQL Database as well as the databases with reside within Azure SQL Database. Students will lean why security is crucial when working with databases. Students are also introduced to other database platforms available on Azure in addition to those based on SQL Server, in particular, Azure Database for MariaDB/MySQL/PostgreSQL
Module 4: Monitor and Optimize Operational Resources
This module will teach you about resource optimization for your databases created using either IaaS or PaaS services. The module also covers monitoring server and hardware resources. It will familiarize you with the various tools available for monitoring performance and establishing a baseline. You will learn how to interpret performance metrics for the most critical resources. You will also learn how to troubleshoot database performance using Azure SQL Database Intelligent Insights.
Module 5: Optimize Query Performance
Query execution plans are potentially the most important aspect of database performance. Improving bad plans is certainly an area where a small amount of effort can bring huge improvements. While hardware issues can limit query performance, improving hardware usually yields performance improvements in the 10-20% range, at most. More commonly database administrators encounter queries that are not optimized, have stale or missing statistics, have missing indexes, or poor database design choices that lead to the database engine doing more work than is necessary to return results for a given query. Improving the plans can sometimes yield performance improvements in the 100-200% range or even more, meaning that after improving a plan with better indexes or statistics, a query could run twice or three times as fast! This module provides details on how to analyze individual query performance and determine where improvements can be made.
Module 6: Automation of Tasks
A common goal for database administrators in many environments is to automate as many of their repetitive tasks. This can be as simple as using scripting to automate a backup process, and as complex as building a fully automated alerting system. This module provides details of automating tasks to simplify the DBA’s job. Methods include scheduling tasks for regular maintenance jobs, as well as multi-instance administration and configuration of notifications for task success or failure or non-completion.
Module 7: Plan and Implement a High Availability and Disaster Recovery Environment
Data must be available when the business needs it. That means the solutions hosting the data must be designed with availability and recoverability in mind. Suppose you work for a company that sells widgets both in stores and online. Your main application uses a highly transactional database for orders. What would happen if the server or platform hosting the transactional database had a problem that made it unavailable or inaccessible for some reason? What impact would it have on the business? If the right solution is put in place, the database would come online in a reasonable timeframe with minimal effort, thus allowing business to continue with little-to-no impact. This module and its associated lab cover configuring, testing, and managing a solution for high availability and disaster recovery (HADR) in Azure, for both Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) deployments. This module will not only cover basic requirements, but also the various options available to achieve HADR.
This training will help you prepare for exam DP-300
By passing this exam you will earn the new Microsoft Certified: Azure Database Administrator Associate certification.
Pris: 22 500 NOK.
Kurset varer i 4 dager – dag 1–4 kl. 09:00–16:00.
Instruktørledet opplæring med teori, demoer og hands-on labber. Se kursdato for leveringsform.
Engelsk kursmateriell, engelsktalende instruktør.
Primært for Database Administrators (DBA) og datafaglige som administrerer databaser on-prem, i skyen eller hybrid, samt dataarkitekter og applikasjonsutviklere som må forstå dataplattformen i Azure.
Erfaring som DBA/dataprofesjonell. I tillegg anbefales kunnskaper tilsvarende Azure Fundamentals og Azure Data Fundamentals.
Planlegge, deploye og konfigurere Azure SQL-tjenester (IaaS/PaaS)
Overvåke og optimalisere ytelse (server, database og spørringer)
Planlegge og konfigurere høy tilgjengelighet (HADR) og backup/gjenoppretting
Sikre miljøet (autentisering/autorisasjon, data i ro/transport, compliance)
Rollen til Azure Database Administrator, alternativer i Azure SQL (VM, Managed Instance, Azure SQL Database), planlegging og migrering, sikkerhet, overvåkning og ressursoptimalisering, spørringsytelse og query plans, automatisering (jobber/varsler), samt HADR-strategier for både IaaS og PaaS.
Kurset forbereder til eksamen DP-300. Bestått eksamen gir Microsoft Certified: Azure Database Administrator Associate. (Eksamen er ikke inkludert.)
Digital kursdokumentasjon og hands-on labber. Ved klasseromsgjennomføring er lunsj og bevertning inkludert.
Ja – vi skreddersyr agenda, øvelser og demoer til deres miljø og leverer gjerne bedriftsinternt.
Vil du bygge videre etter DP-300? Her er gode valg avhengig av om du vil styrke datapipelines, analyse, moderne apper eller ML – alle kurs kan skreddersys og leveres bedriftsinternt.
DP-700: Microsoft Fabric Data Engineer – ingest/transform, lakehouse, pipelines, sanntid og styring i Fabric.
PL-300: Design and Manage Analytics Solutions Using Power BI – modeller, DAX og deling av innsikt.
AZ-204: Developing Solutions for Microsoft Azure – apputvikling og integrasjon mot datatjenester/SQL i Azure.
DP-100: Designing and Implementing a Data Science Solution on Azure – bygg, deploy og drift av ML-løsninger i Azure.
DP-900: Introduction to Microsoft Azure Data – grunnmuren for kolleger som trenger data- og skyfundamenter.
AI-900: Introduction to AI in Azure – AI-grunnforståelse som kompletterer data- og analysearbeid.
Tips: Vil du videre etter DP-300? Velg DP-700 for datapipelines og analyseflyt, PL-300 for rapportering og innsikt, AZ-204 for apputvikling og integrasjoner mot dataplattformen, DP-100 for ML-arbeidsflyter, og DP-900/AI-900 for å løfte teamets grunnlag.
