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.
Level
Advanced
Duration
8 Weeks



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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.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Describe Core Data Concepts
understand structured, semi-structured, and unstructured data. Differentiate between transactional (OLTP) and analytical (OLAP) workloads.
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.
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.
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.
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.
Data Security and Compliance
To protect data in Azure, you need to know about authentication, encryption, monitoring, and compliance standards.
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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.
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.
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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