Why spend time reading another blog on data business intelligence, data warehousing & analytics?

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Introduction (Part 1 of ?)

My commitment as a blogger is to make the topics of business intelligence (BI) and data warehousing interesting and informative for both technological novices as well as the more experienced readers. In an attempt to level the playing field I will address the basics of BI while tying in current day challenges relating to big data, more traditional OLAP analytics, and advanced analytics which use data mining algorithms and statistical analysis. (Note: And yes, buzz words will be explained at the appropriate times)

In addition I’ll also cover the differences between end user needs, workload profiles and the technical challenges relating to architecting environments which are scalable, easy to manage, while meeting user’s and management’s service level agreements (SLAs).

More importantly, I’ll convey my understanding of user workload profiles and how those users become enabled to make smarter, more informed business decisions. My posts will focus on how hardware, software, databases and different types of analytics may be optimized to support various workload mixes.

I will focus on discussing symmetric multiprocessing (scale-up SMP) and massively parallel (scale-out MPP) architectures, best practices, tips, and various design techniques in an effort to tackle the business intelligence needs of large and small organizations.

I’ll periodically provide thoughts on industry trends—comparing and contrasting alternative system designs and architectures. In addition, I will offer honest, straight forward technical views based upon my 30+ years of experience, readings, lab, benchmark and customer experiences.

Comments and additional thoughts will always be welcome on my blog.

Join me on my never ending, explorations relating to data warehousing, business intelligence, analytics and advanced analytics. In the interim take a moment and read Irshad Raihan’s recent business intelligence blog titled Three Big Data Secrets CIOs need to know today.