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DP-900: Azure Data Fundamentals

Azure

DP-900: Azure Data Fundamentals

An entry-level Microsoft test, the DP-900 certification verifies your fundamental understanding of relational and non-relational data, as well as how these are implemented using Microsoft Azure data services. It is intended for novices with an interest in databases, analytics, and cloud-based data processing.

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Level

Advanced

Duration

8 Weeks

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About 

DP-900: Azure Data Fundamentals

The goal of the DP-900: Microsoft Azure Data Fundamentals certification is to assist students in comprehending how Azure services are used to store, process, and analyze data in the cloud. It's perfect for anyone who needs to comprehend Azure's data capabilities without having extensive technical knowledge, such as those beginning a career in data-related positions like data engineers, database administrators, or business analysts.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more then 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

<h1><strong>DP-900: Azure Data Fundamentals</strong></h1> Course Curriculum

Describe Core Data Concepts

understand structured, semi-structured, and unstructured data. Differentiate between transactional (OLTP) and analytical (OLAP) workloads.

Data Types & Formats
2. Data Workloads
Data Processing
Data Roles & Responsibilities
Database Concepts

Relational Data in Azure

Learn about relational databases like Azure SQL, PostgreSQL, and MySQL, and how to set them up and run them in the cloud.

Azure SQL Database
Azure SQL Managed Instance
PostgreSQL & MySQL on Azure
Provisioning & Deployment

Non-Relational Data in Azure

Look into NoSQL databases like Azure Cosmos DB and Azure Table Storage, including how to use them and how to set them up.

Azure Cosmos DB
Azure Table Storage
Use Cases for NoSQL
Provisioning Non-Relational Services

Modern Data Warehouse Analytics

Learn how Azure Synapse, Data Lake, Databricks, and Data Factory make it possible to store, process, and analyze large amounts of data.

Azure Synapse Analytics
Data Lake Storage Gen2
Azure Databricks
Data Integration with Azure Data Factory

Data Ingestion and Processing

Find out what batch and streaming data are, and how Event Hubs, Stream Analytics, and Data Factory work with real-time data.

Batch vs Streaming Data
Azure Event Hubs & IoT Hub
Azure Stream Analytics
ETL & ELT

Data Security and Compliance

To protect data in Azure, you need to know about authentication, encryption, monitoring, and compliance standards.

Authentication & Authorization
Encryption at Rest & in Transit
Auditing & Monitoring
Compliance Standards
Exploring Power BI

Azure Courses

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

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Who Should Take <h1><strong>DP-900: Azure Data Fundamentals</strong></h1>

IT Professionals

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Key Projects

<h1><strong>DP-900: Azure Data Fundamentals</strong></h1>

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Azure SQL Database Setup & Query

To retrieve, filter, and sort the data, create an Azure SQL Database, load sample data (such as a products table), and then execute simple SQL queries. SQL basics and relational database concepts are reinforced by this project.

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Cosmos DB NoSQL Data Store

Create an Azure Cosmos DB account, select the Core SQL API, and add JSON files. After that, execute queries to retrieve and filter data. This enhances knowledge of flexible schema storage and non-relational databases.

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Data Analytics Pipeline with Synapse & Power BI

Store analytical data in Azure Synapse Analytics, link it to Power BI, and generate a basic dashboard that displays sales trends. You can practice data visualization, analytical workloads, and ETL/ELT concepts with this.

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  • Ensuring quality training every day

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  • Meeting learning goals with confidence

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  • Students achieving industry-ready expertise

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Beyond Courses:

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24/7 Support

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