Azure SQL Data Warehouse Synapse Analytics – Module 1 (Free)

Important Note:

Please note that this is NOT a full course but a single module of the full-length course, and intended to cover very basic fundamental concepts for absolute beginners.

This module is NOT GOOD for you if:

• You are already experienced in this technology

• You are looking for an intermediate or advance concepts

• You are looking for practical examples or demo

This module is GOOD for you if:

• You want to understand the basic fundamental concepts of this technology.

This is a free module to help others. If you are not in the intended audience, I request you to please feel free to unenroll.

Where I can find a full-length course?

Please look at the bonus lecture in the end.

What will students learn in this course?

• Azure SQL Data Warehouse

• Azure Synapse Analytics Service

[Note]: This is the free version of this course. In case you are interested to learn below synapse topics further, you can look at my profile for the full version of this course.

• MPP, Types, Partitioning, etc.

• PolyBase loading techniques

• Security

• Configuration

• Backup and Restore

• Managing Workloads

• Monitoring

Level

• Beginners

Intended Audience

• Database and BI developers who want to learn how to implement these technologies in Azure Cloud.

• Anyone who wants to start learning warehousing and Data Engineering in the Azure cloud.

Language

• English

• If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course.

Expected Outcomes

In this course

• You will learn the difference between Traditional vs Modern vs Synapse Data warehouse architecture

• You will learn why Microsoft Synapse Analytics service is going to be a game-changer in the Data Analytics

• You will learn how to provision, configure and scale Azure Synapse Analytics service

Target Students

• Beginners in Azure Platform

• Data Engineers

• Data Scientist

• Database and BI developers

• Database Administrators

• Data Analyst or similar profiles

Prerequisites

• Basic T-SQL and Database concepts

• Azure Free trial Subscription

Course In Detail

Azure Synapse Analytics Service

• Why we should consider warehousing solutions in the cloud

• And then we’ll discuss Microsoft’s brand new Azure Synapse analytics service, and how this service brings together enterprise data warehousing and Big Data analytics, and provide a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

• Advantages of Synapse analytics service over other cloud-based analytics services.

• We will discuss the difference between Traditional vs Modern vs Synapse Architecture.

• You will also see Azure Synapse studio which provides a unified experience for all Data Professionals. So, whether you are Data Engineer, Data Scientists, Database administrator, business analysts or any other IT professional, you will find your space in Synapse studio.

• And then finally in Demo, we’ll provision new Azure Synapse Analytics Service, we will see how to pause or resume compute node which is very important, and how to set firewall rules and connect with SQL Server Management studio

[Tags]

Microsoft SQL Server, Azure SQL Server, Azure SQL Data Warehouse, Data Factory, Data Lake, Azure Storage, Azure Synapse Analytics Service, PolyBase, Azure monitoring, Azure Security, Data Warehouse, SSIS

Rating Distribution

• 1 stars: 7 votes
• 2 stars: 9 votes
• 3 stars: 80 votes
• 4 stars: 264 votes
• 5 stars: 300 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!