Data Warehousing with Azure

Data Warehousing with Azure

• Language: English
• Target audience: The Data Warehousing with Azure training course is aimed at professionals and IT personnel engaged in designing, implementing and managing data warehousing solutions using Azure technologies.
• Required Knowledge Level: A general understanding of Microsoft Azure and the basics of cloud computing is very helpful when taking Data Warehousing with Azure training course
• Course duration: 6:37 hours (depending on personal speed)
• Online access: 24/7, 365 days after activation
• Award Winning E-learning
• Complete training for the official Exam
• User-friendly environment
• Certificate of Participation included

Data Warehousing With Azure Training

Data Warehousing with Azure E-Learning Training is an online training program designed to teach professionals and IT staff how to build and manage data warehousing solutions using Azure technologies. It is a self-paced learning experience where learners have access to online learning materials, modules, videos and exercises that guide them step by step through the various aspects of data warehousing with Azure.

This e-learning training is designed to appeal to professionals from different backgrounds and experience levels. It allows participants to gain and reinforce valuable skills needed to build and manage effective data warehousing solutions using Microsoft Azure.

Course content

Data Warehousing with Azure: Architecture & Modeling Techniques

Course: 1 Hour, 18 Minutes

• Data Warehouse Features
• Data Warehouse Architectures
• Data Warehouse Alternatives
• Data Warehouse Generation
• Variations of Data Warehouse
• Federated Data Warehouse Features
• Star Schema and Data Mart Approach
• Data Warehouse Lifecycle Phases
• Metadata Concepts in Data Warehouse
• Structured and Unstructured Data
• Structured and Unstructured Data - Examples
• Analytics and Reporting Approach
• Cloud Data Warehouse
• Hybrid Data Warehouse Architecture
• Exercise: Implementing Data Warehouse Features

Data Warehousing with Azure

Course: 1 Hour, 8 Minutes

• SQL Data Warehouse Features and Architecture
• MPP and Workload Management
• Creating SQL Data Warehouse
• Connect and Query SQL Data Warehouse
• Create and Query SQL Data Warehouse using PowerShell
• Data Warehouse Design
• Design and Best Practices for SQL Data Warehouse
• Pause and Resume Functionality
• Scale Compute in Azure SQL Data Warehouse
• ELT Process for Azure SQL Data Warehouse
• Exercise: Working with SQL Data Warehouse

Data Warehousing with Azure

Course: 1 Hour, 27 Minutes

• Decision Making
• Data Warehouse Modeling
• Tables in SQL Data Warehouse
• T-SQL Commands for Table Creation
• Unsupported Features
• Distributed Table Concepts
• Data Loading Techniques
• Load Data to SQL Data Warehouse
• Load Data Using Azure Data Factory
• Load Data Using SQL Server Integration Services
• Import and Export Data from SQL Data Warehouses
• T-SQL Loops in SQL Data Warehouse
• Stored Procedure Essential Elements
• Transaction Management Concepts
• Architectural Abstraction Using Views
• Workload Management and Performance
• Exercise: Working with Tables and Data

Data Warehousing with Azure

Course: 45 Minutes

• Azure Analysis Services
• Create an Analysis Services Server Using PowerShell
• Create an Analysis Services Server Using Portal
• Add Models to the Analysis Server
• Create Reports Using Power BI
• Exploring Data Using Excel and Power BI
• Power BI and SQL Data Warehouse
• AdventureWorks Data Warehouse
• Azure Data Lake and Power BI
• Exercise: Preparing Data and Creating Reports

Data Warehousing with Azure

Course: 59 Minutes

• Goals and Features of a Data Lake
• Introducing the Azure Data Lake
• Azure Gen1 Data Lake Storage
• Azure Gen2 Data Lake Storage
• Gen1 Azure Data Lake Storage Using Portal
• Gen1 Azure Data Lake Storage Using PowerShell
• Gen1 Azure Data Lake Storage Using VSCode and CLI
• Azure Storage Explorer
• Gen2 Azure Data Lake Storage Creation
• Loading Data in an Azure Data Lake
• Data Lake and SQL Data Warehouse
• Comparing V1 and V2 Azure Data Factory
• Exercise: Creating the Azure Data Lake Storage

Data Warehousing with Azure

Course: 1 Hour

• Azure Data Lake and Big Data
• Ingesting Data in the Data Store
• Data Sources for Azure Data Lake
• Data Loading Approaches for Huge Data
• Moving Data from a Data Lake to Other Sources
• Moving Data Using AdlCopy
• Using the Offline Copy Method
• Security Mechanism for Azure Data Lake
• Securing Data in Azure Data Lake
• Tuning Data Lake
• Log Analytics
• Implementing Log Analytics
• Exercise: Moving Offline Data  

Specificaties

Taal: Engels
Kwalificaties van de Instructeur: Gecertificeerd
Cursusformaat en Lengte: Lesvideo's met ondertiteling, interactieve elementen en opdrachten en testen
Lesduur: 6:37 uur
Voortgangsbewaking: Ja
Toegang tot Materiaal: 365 dagen
Technische Vereisten: Computer of mobiel apparaat, Stabiele internetverbindingen Webbrowserzoals Chrome, Firefox, Safari of Edge.
Support of Ondersteuning: Helpdesk en online kennisbank 24/7
Certificering: Certificaat van deelname in PDF formaat
Prijs en Kosten: Cursusprijs zonder extra kosten
Annuleringsbeleid en Geld-Terug-Garantie: Wij beoordelen dit per situatie
Award Winning E-learning: Ja

Tip! Zorg voor een rustige leeromgeving, tijd en motivatie, audioapparatuur zoals een koptelefoon of luidsprekers voor audio, accountinformatie zoals inloggegevens voor toegang tot het e-learning platform.