As part of my effort to explore AI, I need to deeper my knowledge of multi-dimensional data model, I take this Udemy course: SQL Server Analysis Services – SSAS, Data Mining and Analytics.
It is a pretty good course, with a lot of good examples of MDX query. As a person with SQL background, I feel that for a machine (or AI), MDX is easier to write than SQL because how to join tables are skipped in MDX. I guess, Power BI Q&A translate natural language questions to MDX, not SQL. I will find out that later.
Come back to the course, I recommend it to anyone who is interested in learning SSAS.
Now that we have a computer and a database installed all by Microsoft, (or by yourself as we mentioned in this post), grab a cup of tea, let’s sit down to taste the sweetness of SQL.
This is a perfect course on Lynda.com for learning SQL:
Continue reading “A Good On-Line Course to Begin SQL”
In one of my previous post, I mentioned the benefits of having a computer with SQL server installed in the cloud (a virtual machine). But, I stopped everyone by telling you how costly it is (about $150 per month). I promised to show you another way. Here it comes.
Continue reading “Free, Fast way to use SQL Server Virtual Machine”
Even though learning through on-line resources is convenient and easily accessible, I strongly recommend you to attend local user group meetings and SQL Saturday events.
Continue reading “Meetings I highly Recommend You to Attend”
I came across this series of 5 articles, titled 5 Steps To Transitions Your Career to Analytics, written by Piyanka Jain, published in early 2015 on Forbes.com. I like them so much that I recommend it to everyone intending to have a career transition.
Continue reading “A very good article about Career Transition”