Azure Synapse Analytics For Data Engineers - An Introduction

Hands on Project for Data Engineers using all the services available in Azure Synapse Analytics[DP-203]

What you'll learn
You will learn how to build a real world project using Azure Synapse Analytics. This course has been taught using real world data from NYC Taxi Trips data
You will acquire professional level data engineering skills in Azure Synapse Analytics
You will learn how to create SQL scripts and Spark notebooks in Azure Synapse Analytics
You will learn how to create dedicated SQL pools and spark pools in Azure Synapse Analytics
You will learn how to enable synapse link and enable analytic store in Cosmos DB
You will learn how to ingest and transform data Serverless SQL Pool and Spark Pool
You will learn how to load data into dedicated SQL Pool
You will learn how to serve data to Power BI from Serverless SQL Pool and Dedicated SQL Pool
You will learn how to execute scripts and notebooks using Synapse Pipelines and Triggers
You will learn how to do operational reporting from the data stored in Cosmos DB using Azure Synapse Analytics
You will learn how to build reports in Power BI for the data stored in Azure Synapse Analytics

Requirements
All the code and step-by-step instructions are provided, but the skills below will greatly benefit your journey
Basic SQL knowledge will be required
Basic Python programming experience will be required
Knowledge of cloud fundamentals will be beneficial, but not necessary
Azure subscription will be required, If you don't have one we will create a free account in the course
Description
Welcome!

I am looking forward to helping you with learning one of the in-demand data engineering tools in the cloud, Azure Synapse Analytics! This course has been taught with implementing a data engineering solution using Azure Synapse Analytics for a real world project of analysing and reporting on NYC Taxi trips data.

This is like no other course in Udemy for Azure Synapse Analytics. Once you have completed the course including all the assignments, I strongly believe that you will be in a position to start a real world data engineering project on your own and also proficient on Azure Synapse Analytics. The primary focus of the course is Azure Synapse Analytics, but it also covers the relevant concepts and connectivity to the other technologies mentioned.

The course follows a logical progression of a real world project implementation with technical concepts being explained and the scripts and notebooks being built at the same time. Even though this course is not specifically designed to teach you the skills required for passing the Azure Data Engineer Associate Certification Exam DP203, it can greatly help you get most of the necessary skills required for the exam.

I value your time as much as I do mine. So, I have designed this course to be fast-paced and to the point. Also, the course has been taught with simple English and no jargons. I start the course from basics and by the end of the course you will be proficient in the technologies used.

Currently the course teaches you the following

Azure Synapse Analytics Architecture

Serverless SQL Pool

Spark Pool

Dedicated SQL Pool

Synapse Pipelines

Synapse Link for Cosmos DB / Hybrid Transactional and Analytical Processing (HTAP) capability

Power BI Integration with Azure Synapse Analytics

Azure Data Lake Storage Gen2 integration with Azure Synapse Analytics

Project using NYC Taxi Trips data using the above technologies

Please note that the following are not currently covered

Data Flows

Advanced concepts around Dedicated SQL Pool

Spark Programming

SQL Fundamentals

Who this course is for
University students looking for a career in Data Engineering
IT developers working on other disciplines trying to move to Data Engineering
Data Engineers/ Data Warehouse Developers currently working on on-premises technologies, or other cloud platforms such as AWS or GCP who want to learn Azure Data Technologies
Data Architects looking to gain an understanding about Azure Data Engineering stack