DP-203 : Microsoft Certified Azure Data Engineer Associate

DP-203 : Microsoft Certified Azure Data Engineer Associate, available at $79.99, has an average rating of 4.46, with 276 lectures, 17 quizzes, based on 554 reviews, and has 5225 subscribers.

You will learn about Pass the Microsoft Azure DP-203 Azure Data Solutions test Learn Basic Data Engineering & Database Concept Learn Various Storage Product like Azure Storage, Queue, File, Table Storage Build structured data solution with various SQL database options Store Semi-structured data with CosmosDB Develop ETL, ELT Solution with Azure Data Factory Analyze Data with Data ware housing system – Synapse analytics Azure Data Factory Control Flow Activities Synapse SQL in Azure Synapse Analytics Apache Spark in Azure Synapse Analytics Azure Databricks Delta Lake & Data warehouse in Azure Databricks Azure Stream Analytics This course is ideal for individuals who are Cloud Engineer who want to get certified in Azure cloud Data Engineer or Anyone looking to use Azure cloud for Data Pipeline in Organization or Data Engineer who want to learn various Azure products for Data Engineering or Anyone who want to learn about various Storage & Database Product for Storing Data in Azure It is particularly useful for Cloud Engineer who want to get certified in Azure cloud Data Engineer or Anyone looking to use Azure cloud for Data Pipeline in Organization or Data Engineer who want to learn various Azure products for Data Engineering or Anyone who want to learn about various Storage & Database Product for Storing Data in Azure.

Enroll now: DP-203 : Microsoft Certified Azure Data Engineer Associate

Summary

Title: DP-203 : Microsoft Certified Azure Data Engineer Associate

Price: $79.99

Average Rating: 4.46

Number of Lectures: 276

Number of Quizzes: 17

Number of Published Lectures: 272

Number of Published Quizzes: 16

Number of Curriculum Items: 293

Number of Published Curriculum Objects: 288

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Pass the Microsoft Azure DP-203 Azure Data Solutions test
Learn Basic Data Engineering & Database Concept
Learn Various Storage Product like Azure Storage, Queue, File, Table Storage
Build structured data solution with various SQL database options
Store Semi-structured data with CosmosDB
Develop ETL, ELT Solution with Azure Data Factory
Analyze Data with Data ware housing system – Synapse analytics
Azure Data Factory Control Flow Activities
Synapse SQL in Azure Synapse Analytics
Apache Spark in Azure Synapse Analytics
Azure Databricks
Delta Lake & Data warehouse in Azure Databricks
Azure Stream Analytics

Who Should Attend

Cloud Engineer who want to get certified in Azure cloud Data Engineer
Anyone looking to use Azure cloud for Data Pipeline in Organization
Data Engineer who want to learn various Azure products for Data Engineering
Anyone who want to learn about various Storage & Database Product for Storing Data in Azure

Target Audiences

Cloud Engineer who want to get certified in Azure cloud Data Engineer
Anyone looking to use Azure cloud for Data Pipeline in Organization
Data Engineer who want to learn various Azure products for Data Engineering
Anyone who want to learn about various Storage & Database Product for Storing Data in Azure

Are you ready to take your career to the next level in Azure Data Engineering?

Look no further! This comprehensive Udemy course is your ultimate guide to preparing for the DP-203: Microsoft Certified Azure Data Engineer Associate exam.

In today’s data-driven world, the demand for skilled Azure Data Engineers is higher. Organizations seek professionals who can design, implement, and manage data solutions using Microsoft Azure services. Achieving the DP-203 certification is a testament to your expertise in the field, making you a valuable asset in the industry.

What You’ll Learn:

Master Azure Data Services: Dive deep into Azure Data Factory, Azure Databricks, Azure HDInsight, and other essential Azure data services. Understand how these services can be leveraged to build data solutions.
Data Storage and Processing: Learn how to store and process data effectively using Azure SQL Data Warehouse, Azure Cosmos DB, and Azure Data Lake Storage.
Data Integration: Explore data integration techniques and best practices using Azure Data Factory, Azure Logic Apps, and more.
Data Orchestration: Gain expertise in orchestrating data workflows, data movement, and data transformation.
Data Security and Compliance:Understand how to secure your data solutions and ensure compliance with industry standards and regulations.
Monitoring and Optimization: Learn how to monitor the performance of your data solutions and optimize them for efficiency.
Real-world Scenarios: Get hands-on experience with real-world scenarios and practical exercises that simulate the exam environment.
Exam Preparation:Receive expert guidance on the DP-203 exam structure, question types, and test-taking strategies.

Regards

Ankit & Vijay

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Important – Udemy Tips & Review Update

Lecture 3: Course Materials

Chapter 2: Basics of Data

Lecture 1: Structured vs Unstructured vs Semi-Structured Data

Lecture 2: Batch vs Streaming Data

Lecture 3: OLTP vs OLAP

Lecture 4: Data Lake vs Data Warehouse

Lecture 5: Data Engineering Workflow

Chapter 3: Azure Basic Services

Lecture 1: Create Azure Account

Lecture 2: Account, Subscription, Resources Groups & Resources

Lecture 3: Different Ways to Access Azure

Lecture 4: Azure Portal Walkthrough

Lecture 5: Getting Ready with Azure CLI

Lecture 6: Azure Cloud Shell

Lecture 7: Create VM from Portal

Lecture 8: Create VM From CLI

Chapter 4: ——————– Part 1: Azure Storage Services ——————–

Lecture 1: Welcome to Part 1: Azure Storage Services

Chapter 5: Azure Storage

Lecture 1: Different Services for Azure Storage

Lecture 2: Azure Storage Platform

Lecture 3: Provision Azure Storage Account

Lecture 4: Explore Azure Storage Account

Lecture 5: What is Azure Blob Storage

Lecture 6: Explore Azure Blob Storage Part 1

Lecture 7: Explore Azure Blob Storage Part 2

Lecture 8: Data Replication in Storage

Lecture 9: Manual Failover

Lecture 10: Blob Access Tier

Lecture 11: Secure Storage Account

Lecture 12: Azure Table

Lecture 13: Assignment : Azure Table

Lecture 14: Azure Queue

Lecture 15: Azure File Share

Lecture 16: Azure Disk Storage

Lecture 17: Introduction to Azure Data Lake Gen 2

Lecture 18: Lifecycle Management

Lecture 19: Assignment : Lifecycle management

Lecture 20: Azure Storage Explorer

Lecture 21: Manage Azure Storage via Azure CLI Part – 1

Lecture 22: Manage Azure Storage via Azure CLI Part – 2

Lecture 23: Manage Azure Storage via Azure CLI Part – 3

Lecture 24: Manage Azure Storage via Azure CLI Part – 4

Lecture 25: Manage Azure Storage via Azure CLI Part – 5

Chapter 6: Azure SQL Database

Lecture 1: Introduction to Azure SQL Database

Lecture 2: Azure SQL IaaS & PaaS Offering

Lecture 3: Different Paas Deployment

Lecture 4: [Hands-On] Azure SQL Database Part 1

Lecture 5: [Hands-On] Azure SQL Database Part 2

Lecture 6: [Hands-On] Azure SQL Database Part 3

Lecture 7: [Hands-On] Azure SQL Database Part 4

Lecture 8: SQL Pricing Model & Service Tier

Lecture 9: Manage Azure SQL via Azure CLI Part – 1

Lecture 10: Manage Azure SQL via Azure CLI Part – 2

Chapter 7: Azure NoSQL Solution : CosmosDB

Lecture 1: Introduction to Azure Cosmos DB

Lecture 2: APIs in Azure Cosmos DB

Lecture 3: Azure Cosmos DB for NoSQL

Lecture 4: Components of Azure Cosmos DB for NoSQL

Chapter 8: Azure NoSQL Solution : CosmosDB Part 2

Lecture 1: Lab1: Creating Azure Cosmos DB Account for NoSQL Part 1

Lecture 2: Lab1: Creating Azure Cosmos DB Account for NoSQL Part 2

Lecture 3: Lab1: Creating Azure Cosmos DB Account for NoSQL Part 3

Lecture 4: Overview: Azure Cosmos DB Account for NoSQL

Lecture 5: Lab 2: Creating a Database Part 1

Lecture 6: Lab 2: Creating a Database Part 2

Lecture 7: Lab 3: Creating a Container

Lecture 8: Lab 4: Adding Items to Container

Lecture 9: Request Units

Lecture 10: Understand Throughput

Lecture 11: Cost Management

Lecture 12: Cosmos DB – Horizontally Scalable

Lecture 13: Partition and Partition Key

Lecture 14: Single vs Cross Partition

Lecture 15: Avoid Hot Partitions

Lecture 16: Time-to-Live (TTL)

Lecture 17: Serverless Capacity Mode

Lecture 18: Serverless vs Provisioned Throughput

Lecture 19: Autoscale vs Standard Throughput

Lecture 20: Azure CosmosDB Pricing

Chapter 9: ——————– Part 2: Azure Data Factory ——————–

Lecture 1: Welcome to Part 2: Azure Data Factory

Chapter 10: Azure Data Factory: Getting Started

Lecture 1: Introduction to Azure Data Factory

Lecture 2: Create Data Factory Account

Lecture 3: Azure Data Factory Studio Overview

Lecture 4: Pipelines and Activities

Lecture 5: Create Storage Account & Containers

Lecture 6: Introduction to Linked Services & Dataset

Instructors

Ankit Mistry
Software Developer | I want to Improve your life & Income.
Vijay Gadhave
Data Scientist and Software Developer

Rating Distribution

1 stars: 10 votes
2 stars: 11 votes
3 stars: 43 votes
4 stars: 211 votes
5 stars: 279 votes

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