The next step in my journey.

I have not been updating my blog for a while.  It looks like January 1st 2015 was my last post.  However, I will leave that to another post to talk about that.

This post will discuss my recent journey and next step in which I’m looking to share and it will be useful to others such as yourself.

I am currently studding for the MCSE: Data Management and Analytics certification.  I have earned the MCSA: SQL 2016 Database Development certification and will be using Exam 70-773 Analyzing Big Data with Microsoft R as my third exam to earn my MCSE.

This is where the blog is going to become active again.  Where as when I studied for the MCSA I was able to use the MCSA SQL Server 2016 Database Development Exam Ref 2-pack: Exam Refs 70-761 and 70-762 books by Itzik Ben-Gan, Louis Davidson, and Stacia Varga.  For exam 70-773 I am going to need to develop a study guide for myself as it does not have a reference guide at this time.

It’s not to say there isn’t any content out there.  For example, there is a Microsoft Official 3 day Course 20773A: Analyzing Big Data with Microsoft R with companion material available on the web at https://www.microsoft.com/en-us/learning/companion-moc.aspx.  However, I’m always a fan of budget friendly learning methods.

Speaking of budget friendly study methods my first stop was the the MSSQLTips post Exam material for the Microsoft 70-773, Analyzing Big Data with Microsoft R.  This post was a great start because it has various resources organized in one central location.  However, I needed a quick primer on what Microsoft R is.  For that overview I found a four part Channel 9 series: Introduction to Microsoft R Server Session 1 : Overview, Introduction to Microsoft R Server Session 2 : Data Ingestion, Introduction to Microsoft R Server, Session 3: Data Management and Introduction to Microsoft R Server, Session 4: Data Analysis and Modeling.  After this overview I realized I need to understand more of the fundamentals of R for that I am currently reading R for Data Science: Import, Tidy, Transform, Visualize, and Model Data.  I purchased the Kindle version since I’m attempting to study between fall high school soccer with my son and daughter.  However, even with what I read so far it has been helpful for getting a better understanding on how to work with R.

My goal is develop a series of blog posts to reinforce what I’m learning and I hope adds value to you also as you learn R or study or the exam yourself.

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