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Product description
Data Warehousing with Azure E-Learning
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 personnel how to build and manage data warehousing solutions using Microsoft Azure technologies.
This self-paced learning experience includes 1 year of 24/7 access to in-depth learning modules, instructional videos, and hands-on exercises that walk learners through key aspects of cloud-based data warehousing using tools like Azure Synapse Analytics, Data Lake, Data Factory, and SQL Database.
Why Choose This Training?
Step-by-step guide to designing and deploying data warehouses on Azure
Flexible online format – study anytime, anywhere
Interactive materials, hands-on labs, and expert-led video instruction
Gain in-demand skills in Azure data services and cloud analytics
Includes progress tracking and certificate of participation
Who Should Attend?
Data engineers, BI professionals, and IT specialists
Analysts and developers building scalable data solutions
Organizations migrating to a cloud-based data infrastructure
Professionals looking to expand skills in Microsoft Azure data tools
Anyone involved in data storage, reporting, or analytics
Demo Data Warehousing with Azure Training
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
What is Data Warehousing with Azure?
Data Warehousing Azure refers to the use of Azure, Microsoft's cloud computing platform, to build and manage data warehousing solutions. A data warehouse is a data storage system used to collect, organize and analyze large amounts of structured and unstructured data from various sources, enabling businesses to gain valuable insights and decision support.
With Azure, Microsoft offers a suite of services and tools specifically designed to support data warehousing capabilities in the cloud.
10 benefits of Data Warehousing with Azure
Scalability: Azure provides scalable and flexible solutions for managing large amounts of data, making it easy to expand and scale data warehouses.
Reliability: Azure has a robust and reliable infrastructure that ensures high availability and continuous uptime, which is essential for data warehousing.
Security: Azure offers multiple layers of security, including network security, access control, authentication and authorization, keeping data safe in the cloud.
Integration: Azure integrates seamlessly with existing on-premises systems and other Azure services, making it easy to collect and combine data from different sources.
Analytical capability: Azure offers powerful built-in analytics capabilities, including advanced machine learning and artificial intelligence, enabling businesses to extract valuable insights from their data.
Reduce costs: Azure offers pay-per-use models and other cost-saving solutions that can help lower a data warehouse's total cost of ownership.
Easy implementation: Azure offers predefined templates, wizards and quick-start guides that allow users to quickly and easily deploy a data warehouse.
Easy management: Azure provides an intuitive and user-friendly interface for managing data warehouses, making it easy to monitor database health, performance and configuration.
Flexibility: Azure offers flexible and customizable data warehouse architectures, allowing companies to choose the best solution for their specific needs.
Innovation: Azure continues to evolve, constantly offering new and innovative data warehousing solutions, ensuring that businesses always have access to the latest and greatest technologies.
Why is Data Warehousing with Azure important?
Data Warehousing with Azure is important because it allows companies to store and manage large amounts of data in one central location. This simplifies data management and enables advanced analytics and insights. With Azure, businesses can take advantage of scalability, flexibility and reliability to meet their data needs. It offers integrated analytics capabilities and advanced security features to protect data. Data Warehousing with Azure also drives innovation by offering continuous updates and new technologies that businesses can use to extract value from their data.
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Specifications
Article number
110027095
SKU
110027095
Language
English
Qualifications of the Instructor
Certified
Course Format and Length
Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration
6:37 Hours
Progress monitoring
Access to Material
365 days
Technical Requirements
Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance
Helpdesk and online knowledge base 24/7
Certification
Certificate of participation in PDF format
Price and costs
Course price at no extra cost
Cancellation policy and money-back guarantee
We assess this on a case-by-case basis
Award Winning E-learning
Tip!
Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.
Heeft u vragen over dit product of hulp nodig bij het bestellen? Onze AI-chatbot is 24/7 beschikbaar, of neem contact op via [email protected] of bel +31 36 760 1019
Heeft u vragen over dit product of hulp nodig bij het bestellen? Onze AI-chatbot is 24/7 beschikbaar, of neem contact op via [email protected] of bel +31 36 760 1019
Order this unique E-Learning Training Microsoft Lync Server online, 1 year 24/7 ...
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Specifications
Article number
110027095
SKU
110027095
Language
English
Qualifications of the Instructor
Certified
Course Format and Length
Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration
6:37 Hours
Progress monitoring
Access to Material
365 days
Technical Requirements
Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance
Helpdesk and online knowledge base 24/7
Certification
Certificate of participation in PDF format
Price and costs
Course price at no extra cost
Cancellation policy and money-back guarantee
We assess this on a case-by-case basis
Award Winning E-learning
Tip!
Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.
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