Database projects with SQL Server Data Tools (SSDT)

Database projects with SQL Server Data Tools (SSDT)

Last Year (2021) I released a full and comprehensive course about SSDT: developing and maintenance SQL Server database within SQL Server Data Tools in Visual Studio.
Thank you to all those who decided to buy the course and congratulations to those who completed it. I know it was not easy, particularly from the fact the course is long. It covers probably all SSDT aspects, thus has 20 hours spread out on 64 lessons in 9 modules. I realised it may be too much.
Therefore I decided to reorganize the lessons and modules of the course a bit so that they contained only the necessary knowledge about SSDT, and thus it was more affordable, in terms of size and price. As a result, I present his “little brother” named: Essentials of database projects with SSDT.

In order to be perfectly clear and transparent here – the comparison between these two editions can help you to understand the differences and decide which is better for you.

Editions

What’re the major differences between them? Let’s take a look.

SSDT – Essentials Database projects with SSDT (Full)
Price $99 ($14 per hour) $199 ($9.95 per hour)
Modules 1+4 modules 1+8 modules
Lessons / Length 37 / 7 hrs 82 / 20 hrs
Satisfaction guaranteed * 15 days 30 days
Slack – closed channel No Yes
Quiz questions 20 >100
Available to buy All-time Only in specific periods

* Satisfaction guaranteed means you have 15 or 30 days to ask for return full payment if (for ANY reasons!) you’re not satisfied with the course.

Agenda

This is exactly the same course, but the “Essentials” edition is mostly for beginners or for those who won’t learn advanced techniques and tricks. Having said that, let’s dig deeper and compare the agenda of these courses.

Download PDF

What do they have in common?

In both cases (editions) you get lifetime access to the courses and invoice at purchase.

Any questions? Ping me: kamil@sqlplayer.net

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Kamil Nowinski
Kamil Nowinski 190 posts

Blogger, speaker. Data Platform MVP, MCSE. Senior Data Engineer & data geek. Member of Data Community Poland, co-organizer of SQLDay, Happy husband & father.

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