DP-900: Microsoft Azure Data Fundamentals Course – Feb 2024
DP-900: Microsoft Azure Data Fundamentals Course – Feb 2024, available at $94.99, has an average rating of 4.76, with 110 lectures, 6 quizzes, based on 4548 reviews, and has 16876 subscribers.
You will learn about Students will be prepared for the DP-900 certification exam Learn types of core data workloads concepts Learn basics of 4 types of NoSQL databases and implementation NoSQL on Azure Platform (Cosmos DB APIs, Table, Blob and File storage) Learn diff Relational databases and implementation on Azure (Azure SQL Database and Managed Instance) Learn analytics workloads, including data warehouses, data ingestion and processing on Azure Describe data visualization in Microsoft Power BI, including reports and dashboards This course is ideal for individuals who are Those who want to pass the Microsoft exam DP-900 or Those who want to enter in to Azure Cloud Data related profiles like Data Engineer, Data Scientist, Data Analyst etc It is particularly useful for Those who want to pass the Microsoft exam DP-900 or Those who want to enter in to Azure Cloud Data related profiles like Data Engineer, Data Scientist, Data Analyst etc.
Enroll now: DP-900: Microsoft Azure Data Fundamentals Course – Feb 2024
Summary
Title: DP-900: Microsoft Azure Data Fundamentals Course – Feb 2024
Price: $94.99
Average Rating: 4.76
Number of Lectures: 110
Number of Quizzes: 6
Number of Published Lectures: 109
Number of Published Quizzes: 5
Number of Curriculum Items: 116
Number of Published Curriculum Objects: 114
Number of Practice Tests: 2
Number of Published Practice Tests: 2
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Students will be prepared for the DP-900 certification exam
- Learn types of core data workloads concepts
- Learn basics of 4 types of NoSQL databases and implementation NoSQL on Azure Platform (Cosmos DB APIs, Table, Blob and File storage)
- Learn diff Relational databases and implementation on Azure (Azure SQL Database and Managed Instance)
- Learn analytics workloads, including data warehouses, data ingestion and processing on Azure
- Describe data visualization in Microsoft Power BI, including reports and dashboards
Who Should Attend
- Those who want to pass the Microsoft exam DP-900
- Those who want to enter in to Azure Cloud Data related profiles like Data Engineer, Data Scientist, Data Analyst etc
Target Audiences
- Those who want to pass the Microsoft exam DP-900
- Those who want to enter in to Azure Cloud Data related profiles like Data Engineer, Data Scientist, Data Analyst etc
The Microsoft Azure DP-900 exam is the best example of a basic level of qualification to prove your knowledge of core data services and Microsoft Azure data services. Applicants are looking for accurate information on the preparation of DP-900 exams due to the favorable job opportunities associated with Microsoft Azure details.
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Exam Name: Exam DP-900: Microsoft Azure Data Fundamentals
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Exam Duration60 Minutes
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Exam TypeMultiple Choice Examination
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Number of Questions40 – 60 Questions
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Exam Fee$99 (Depends on Country)
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Eligibility/Pre-requisiteNone
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Exam validityLifetime
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Exam LanguagesEnglish, Japanese, Korean, and Simplified Chinese
Areas Covered
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Describe types of core data workloads, batch and streaming data, and core concepts of data analytics.
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Describe relational data workloads, relational Azure data services such as comparing PaaS, IaaS, and SaaS delivery models.
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Identify basic management tasks for relational data including provisioning and deployment of relational data services and describing query techniques for data using SQL language.
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Describe non-relational data workloads and non-relational data offerings on Azure and describe provisioning and deployment of non-relational data services.
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Describe analytics workloads and components of a modern data warehouse
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Describe data ingestion and processing on Azure and data visualization in Microsoft Power BI
Domains Covered in DP-900 Exam
Another significant factor that all candidates should consider for the successful training of the DP-900 exam is the overview of the exam skills. Applicants with a better understanding of the exam topics and weighting of the exam domains can gain a general impression of the exam prior to their preparation. The following topics can be found in the DP-900 certification test.
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Describing core data concepts- 15% to 20%
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Describe the approaches to work with relational data on Azure- 25% to 30%
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Describing approaches to work with non-relational data on Azure- 25% to 30%
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Description of an Azure analytics workload- 25% to 30%
The preparation guide for the DP-900 exam can become better with an outline of the subtopics covered in each domain. Here is a reflection on the subtopics you can find in different domains of the DP-900 certification exam.
Domain 1: Describing core data concepts
The subtopics in this domain are,
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Describing types of core data workloads.
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Describing core concepts of data analytics.
Domain 2: Describe the approaches to work with relational data on Azure
The subtopics in this domain are,
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Description of relational data workloads.
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Description of relational Azure data services.
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Identification of basic management tasks for relational data.
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Description of query techniques for data by leveraging SQL language.
Domain 3: Describing approaches to work with non-relational data on Azure
The subtopics in this domain are,
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Describing non-relational data workloads.
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Describing non-relational data offerings on Azure.
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Identification of basic management tasks for non-relational data.
Domain 4: Description of an Azure analytics workload
The subtopics in this domain are,
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Describing analytics workloads.
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Describing the components of a modern data warehouse.
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Description of data ingestion and processing on Azure.
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Describing data visualization in Microsoft Power BI.
Course Curriculum
Chapter 1: Introduction
Lecture 1: IMP Note: Course Update – Feb 2024
Lecture 2: IMP – Instructions
Lecture 3: Course Introduction
Lecture 4: IMP: Everything you need to know about exam and this course
Lecture 5: PPT and Demo Resources
Lecture 6: Before you start…
Chapter 2: Azure Portal Introduction
Lecture 1: Create Azure Free Subscription
Lecture 2: Azure Portal Overview
Lecture 3: IaaS vs PaaS vs SaaS
Lecture 4: Azure Sandbox – How to use Azure Portal for absolutely free
Lecture 5: How to get FREE credits for Azure Portal
Lecture 6: Further Reading
Chapter 3: Describe core data concepts
Lecture 1: Introduction and Learning Objectives
Lecture 2: Data Types
Lecture 3: Different Files Formats
Lecture 4: Transaction (OLTP) vs Analytics (OLAP) workload
Lecture 5: Roles and Responsibilities for Data Workloads
Lecture 6: Data Processing Solutions (OLTP vs OLAP)
Lecture 7: Describe the concepts of Data Processing
Lecture 8: ETL vs ELT
Lecture 9: Further Study Material
Chapter 4: Describe how to work with relational data on Azure
Lecture 1: Characteristics of Relational Database
Lecture 2: Notes: Relational Database
Lecture 3: Describe Relational DB structures
Lecture 4: Provisioning and Deployment in Azure
Lecture 5: Methods of Provisioning
Lecture 6: Why choosing SQL Database in Azure
Lecture 7: Azure IaaS vs PaaS database offerings
Lecture 8: SQL Database PaaS Deployment Options
Lecture 9: Azure SQL Server in Virtual Machine (IaaS)
Lecture 10: Azure SQL Database vs Data Warehouse
Lecture 11: Demo: Azure Single SQL Server Database and Firewall Settings
Lecture 12: Open Source DB: PostgreSQL, MariaDB and MySQL
Lecture 13: Identify Query Tools
Lecture 14: Introduction to SQL
Lecture 15: Demo: SQL SELECT Query
Lecture 16: Identify the right data offering for a relational workload
Lecture 17: Further Study Material
Chapter 5: Describe how to work with non-relational data on Azure
Lecture 1: Introduction and Learning Objectives
Lecture 2: Introduction to NoSQL
Lecture 3: SQL vs NoSQL
Lecture 4: 4 types of NoSQL Databases
Lecture 5: JSON File Structure
Lecture 6: NoSQL Offerings by Microsoft Azure
Lecture 7: Azure Storage Services Overview
Lecture 8: Demo Provision Azure Storage Account
Lecture 9: Data Redundancy Options
Lecture 10: Azure Blob Storage
Lecture 11: Azure Storage Access Tiers
Lecture 12: Azure Table Storage
Lecture 13: Azure File Share Storage
Lecture 14: Demo Azure File Share Storage
Lecture 15: How Cosmos DB evolved?
Lecture 16: Cosmos DB Features
Lecture 17: Cosmos DB Multi Model 5 APIs
Lecture 18: Provision Cosmos DB Account
Lecture 19: Cosmos DB: Globally Distribution
Lecture 20: Further Study Material
Chapter 6: Describe an analytics workload on Azure
Lecture 1: Introduction and Learning Objectives
Lecture 2: What is Data Warehouse
Lecture 3: Why we need Data Warehouse
Lecture 4: Star Schema – Fact/Dimension
Lecture 5: Why Warehousing in Cloud
Lecture 6: Modern Data Warehouse Architecture
Lecture 7: What is Azure Synapse Analytics Service
Lecture 8: What is HDInsight
Lecture 9: Batch Processing
Lecture 10: Real Time Processing
Lecture 11: Azure Stream Analytics
Lecture 12: Batch Processing vs Stream Processing
Lecture 13: What is Data Lake
Lecture 14: Data Lake Gen2 Hierarchical namespace
Lecture 15: What is Data Factory
Lecture 16: Provision Azure Data Factory Instance
Lecture 17: Data Factory – Components
Lecture 18: Data Factory Components Relation
Lecture 19: Data Factory Triggers
Lecture 20: What is Azure Databricks
Lecture 21: Azure Data Service Architecture
Lecture 22: Introduction to PowerBI
Lecture 23: Building Blocks of Power BI
Lecture 24: PowerBI: Role of Dashboard
Lecture 25: Power BI: Workflow
Lecture 26: Data Visualization and Chart Types
Lecture 27: Microsoft Fabric
Lecture 28: Further Study Material
Chapter 7: Practice Tests
Lecture 1: Note about Practice Tests
Lecture 2: More Practice Questions
Instructors
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Eshant Garg | | LearnCloud.Info | 100,000+ Enrollments
Instructor | LearnCloud.Info | Azure
Rating Distribution
- 1 stars: 19 votes
- 2 stars: 18 votes
- 3 stars: 192 votes
- 4 stars: 1459 votes
- 5 stars: 2863 votes
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