DP-3015: Getting Started with Cosmos DB NoSQL Development Course Overview

This DP-3015: Getting Started with Cosmos DB NoSQL Development Course introduces Cosmos DB of Microsoft Azure's Cosmos DB, a globally distributed NoSQL database. The learners will understand the fundamental concepts of the NOSQL database and explore the architecture and characteristics of Cosmos DB, such as its multi-model capabilities, global distribution and elastic scalability. Participants will learn how to set up and configure Cosmos DB accounts, choose the appropriate consistency model, and design scalable and efficient data models for your applications.  

During the course, participants will engage hands-on with cosmos DB, SQL API, MongodB API, Cassandra API and Gremlin API will learn to store and retrieve data. Performance, sequencing, sequencing and adaptation will be emphasized for high throughput and low latency.  

The curriculum also includes security best practices, including certification and authorization, as well as monitoring and troubleshooting of the Cosmos DB deployment.  

By the end of this course, participants will have the necessary skills to develop, manage and scale applications by using Cosmos DB. This course is perfect for developers, architects, and IT professionals who are mastering NoSQL development in Azure.  

A leading corporate training Company SSDN Technologies provides specialized training in Cosmos DB development to equip professionals "with the expertise needed to enhance their cloud application skills.


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Learning Options for You

  • Live Training (Duration : 8 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic knowledge of Python programming
  • Familiarity with machine learning concepts and algorithms
  • Understanding of Azure services (Azure Storage, Azure ML, Azure Databricks)
  • Experience with data analysis and visualization tools is recommended

Learning Objectives

The DP-3014: Implementing a Machine Learning Solution with Azure Databricks course equips learners with the skills to design, build, and deploy scalable machine learning models using Azure Databricks. Participants will gain hands-on experience in data preparation, model training, optimization, and operationalization within the Azure ecosystem. This course is ideal for professionals aiming to leverage Azure Databricks for advanced analytics and AI-driven business solutions.

Target Audience

  • Data Scientists and Machine Learning Engineers
  • Data Analysts looking to advance into machine learning with Azure Databricks
  • AI Developers who want to implement end-to-end ML solutions
  • Cloud Professionals working with Azure Data & AI services
  • Technical Decision Makers seeking practical knowledge of Databricks ML capabilities

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