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DP-900: Microsoft Azure Data Fundamentals

DP-900: Microsoft Azure Data Fundamentals

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This Azure DP-900 certification training course from CloudThat equips the aspirants to diligently prepare for DP-900 Microsoft Azure Data Fundamentals exam and earn certification.

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Overview
Key Features
Who should attend
Prerequisites
Course Outline
Certification
Course Fee

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Course Overview

This DP-900 certification course from CloudThat is designed to help candidates pass the Microsoft DP-900 certification exam. This DP-900 exam is ideal for candidates beginning to work with data in the Cloud. Candidates taking up this training learn about the core data concepts and related Microsoft Azure data services. Before taking up this Microsoft Azure Data Fundamentals certification, candidates must be familiar with the relational and non-relational data concepts and the different types of data workloads, including transactional or analytical. Candidates can use the Azure Data Fundamentals certification to prepare for other Azure role-based certifications like Azure Data Engineer Associate or Azure Database Administrator Associate. However, it is not a prerequisite for any of them.

After completing this course, students will be able to:

To understand and build AI solutions on Azure
To learn about various Azure Machine Learning services usage & integration
To understand the profound impacts Machine Learning is making in smart business decisions

Upcoming Batches

India Online Enroll

Start Date End Date

03-07-2023

05-06-2023

10-07-2023

12-06-2023

16-06-2023

18-06-2023

19-06-2023

23-07-2023

26-06-2023

To be Decided

Key Features

Our Azure Data Fundamentals training modules have 50% -60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL) for Azure DP-900 exam preparation.
Microsoft certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).
Well-structured use-cases to simulate challenges encountered in a Real-World environment.
Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform.
Being a Microsoft Learning Partner provides us with the edge over competition.

Who Should Attend

Azure Database Administrator
Azure Data Engineer

Prerequisites

Should have knowledge on concepts of relational and non-relational data
Should have knowledge on different types of data workloads such as transactional or analytical

Course Outline Download Course Outline

Describe Types of Core Data Workloads

Describe Batch Data
Describe Streaming Data
Describe the Difference between Batch and Streaming Data
Describe the Characteristics of Relational Data

Describe Data Analytics Core Concepts

Describe Data Visualization (e.g., Visualization, Reporting, Business Intelligence
Describe Basic Chart Types such as Bar Charts and Pie Charts
Describe Analytics Techniques (e.g., Descriptive, Diagnostic, Predictive, Prescriptive, Cognitive)
Describe ELT and ETL Processing
Describe the Concepts of Data Processing

Describe Relational Data Workloads

Identify the right Data Offering for a Relational Workload
Describe Relational Data Structures (e.g., tables, index, views)

Describe Relational Azure Data Services

Describe and compare PaaS, IaaS, and SaaS Delivery Models
Describe Azure SQL Database
Describe Azure Synapse Analytics
Describe SQL Server on Azure Virtual Machine
Describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure

Database for MySQL

Describe Azure SQL Managed Instance

Identify Basic Management Tasks for Relational Data

Describe Provisioning and Deployment of Relational Data Services
Describe Method for Deployment Including ARM Templates and Azure Portal
Identify Data Security Components (e.g., Firewall, Authentication)
Identify Basic Connectivity Issues (e.g., Accessing from On-premises, Access with Azure

VNets, Access from Internet, Authentication, Firewalls)

Identify Query Tools (e.g., Azure Data Studio, SQL Server Management Studio, sqlcmd Utility, etc.)

Describe Query Techniques for Data using SQL Language

Compare DDL Versus DML
query relational Data in PostgreSQL, MySQL, and Azure SQL Database

Describe Non-Relational Data Workloads

Describe the Characteristics of Non-Relational Data
Describe the Types of Non-Relational and NoSQL Data
Recommend the Correct Data Store
Determine When to use Non-Relational Data

Describe non-relational Data Offerings on Azure

Identify Azure Data Services for Non-Relational Workloads
Describe Azure Cosmos DB APIs
Describe Azure Table Storage
Describe Azure Blob Storage
Describe Azure File Storage

Identify Basic Management Tasks for Non-Relational Data

Describe Provisioning and Deployment of Non-Relational Data Services
Describe Method for Deployment Including ARM Templates and Azure Portal
Identify Data security components (e.g., Firewall, Authentication)
Identify Basic Connectivity Issues (e.g., Accessing from On-Premises, Access with Azure VNets, Access from Internet, Authentication, Firewalls)
Identify Management Tools for Non-Relational Data

Describe Analytics Workloads

Describe Transactional Workloads
Describe the Difference Between a Transactional and an Analytics Workload
Describe the Difference between Batch and Real Time
Describe Data Warehousing Workloads
Determine when a Data Warehouse Solution is Needed

Describe the components of a Modern Data Warehouse

Describe Azure Data Services for Modern Data Warehousing such as Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
Describe Modern Data Warehousing Architecture and Workload

Describe Data Ingestion and Processing on Azure

Describe Common Practices for Data Loading
Describe the Components of Azure Data Factory (e.g., Pipeline, Activities, etc.)
Describe Data Processing Options (e.g., HDI, Azure Databricks, Azure Synapse Analytics, Azure Data Factory)

Describe Data Visualization in Microsoft Power BI

Describe the Role of paginated Reporting
Describe the Role of Interactive Reports
Describe the Role of Dashboards
Describe the Workflow in Power BI

Course Outline Download Course Outline

Certification

By earning Microsoft DP-900 certification, you will prove competency to work with data deployed on cloud.
Imbibe skills to build AI solutions on Azure.
Demonstrate abilities to Azure Machine Learning services usage & integration.
On successful completion of DP-900: Microsoft Azure Data Fundamentals training aspirants receive a Course Completion Certificate from us.
By successfully clearing the DP-900: Microsoft Azure Data Fundamentals exams, aspirants earn Microsoft Certification.

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Trainings , learning materials provided by CloudThat, are quite impressive.

Oluwadunni Adio

The training was really interesting and enlightening. Thanks

Ronald Chiwariro

Great Training Centre and highly qualified trainers. The course administration and delivery are above excellence.

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DP-900: Microsoft Azure Data Fundamentals

Course Overview

Upcoming Batches

India Online Enroll

Key Features

Who Should Attend

Prerequisites

Course Outline Download Course Outline

Module 1 Describe Core Data Concepts

Module 2 Describe How to Work with Relational Data on Azure

Module 3 Describe How to work with non-relational Data on Azure

Module 4 Describe an Analytics Workload on Azure

Course Outline Download Course Outline

Certification

Our Top Trainers

Course Fee

₹14900 + 18% GST

Reviews

Rakesh Kumar

Oluwadunni Adio

Ronald Chiwariro

Related Courses

DP- 090T00: Implementing a Machine Learning Solution with Microsoft

DP-080T00: Querying Data with Microsoft Transact-SQL

DP-100: Design & Implement Data Science Solution on Azure