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Azure Data Engineer Skill Path

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End-to-end industry-focused skill path to help gain essential skills of an Azure Data Engineer

Pre-Requisites

Data Analyst Skill Path

Key Highlights

✅ Big Data analysis on datasets larger than 7 GB

✅Hand's On Streaming APIs

✅ Aligned to Azure Data Engineer Certification

Skill Path

sql-essentials.png Skill path cover imageScenario

A Practical Sense to SQL Query Optimization

This module dives deep into how to write queries in the most optimal way which would save computing resources and cost for an organization

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sql-optimization
120 Minutes
python-essentials.png Skill path cover imageMasterclass

Advanced Data wrangling and Python code optimization

This module dives deep into writing a modular code for challenging data tasks and working with complex data structures like JSON

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data-ingestion
550 Minutes

big-data.png Skill path cover imageMasterclass

Big Data Foundations

This module introduces you to the world of big data storage and processing and why using monolithic systems is a bad design for big data

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data-storage
data-wrangling
420 Minutes

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Significance of Cloud

This module introduces you to the need for using the cloud and how it solves the modern-day data problems in the industry

general
cloud-computing
420 Minutes

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User Management in Azure

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100 Minutes

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Working with Object storage on Azure Cloud

This module gives you a practical sense of data lakes, and when and where to use them. It also introduces you to the work of cloud SDK and how to use it programmatically Ingest the data from Data-Lakes

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data-lake
450 Minutes

Group 57.png Skill path cover imageMasterclass

Working with Azure SQL

This module gives you to various databases on the cloud and how to connect to them This module also deep dives into the ingestion of data from these databases

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400 Minutes

Group 57.png Skill path cover imageMasterclass

Need for ETL for Organizations

This module dives deep into the need for ETL Pipelines

general
ETL
120 Minutes

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A Simple ETL using Python

This is a basic end to end project In which

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ETL
240 Minutes

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Introduction to NoSql using CosmosDB

Explore the landscape of database solutions for NoSQL using Azure Cosmos, where we delve into why NoSQL is crucial in modern data handling. This module also briefly introduces you to various

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Cosmos DB
330 Minutes

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Serverless ETL with Azure Data factory

This module gives a comprehensive overview of building Serverless ETL pipelines using Azure Data factory

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ETL
Azure Data Factory
390 Minutes

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ETL Pipeline Using ADF - Part 1

This scenario helps you implement the ADF skills acquired in the previous module.

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ETL
Azure Data Factory
240 Minutes

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Advanced Azure Data Factory

This module dives deep into solving core Data engineering problems using ADF. This module also touches upon how to optimize the pipelines to make it production-ready

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ETL
Azure Data Factory
600 Minutes

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ETL Pipeline Using ADF - Part 2

This scenario helps you implement the ADF skills acquired in the previous module.

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ETL
Azure Data Factory
550 Minutes

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Designing Streaming Pipelines in Azure

This module gives an in-depth exploration of processing live data streams. building scalable streaming applications and integration with various data sources.

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300 Minutes

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Designing Logical Data Warehouse with Azure Synapse

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synapse
data-warehousing
280 Minutes

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Designing a Physical Data Warehouse with Azure Synapse

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synapse
data-warehousing
400 Minutes

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Data Governance with Azure Purview

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data-governance
270 Minutes

Group 57.png Skill path cover imageScenario bundle

Certification Bundle

This module will allow you to be battle-ready for taking the Azure DP 203 certification exam

330 Minutes

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Capstone Project

This is the end-to-end project covering having skills from across the path. You can choose and work with projects from catalog

400 Minutes