Is Data Science a good career choice for experienced MSBI?
Hi, Currently I am working as Database/MSBI developer. I am having around 5 yrs of experience, with proficiency in DB development, SSRS & SSIS. I do not have handy experience on SSAS(just have a basic knowledge). Since these days, there is a lot of hype on "Big Data", have heard so much about it and even "Data Science". Also if we see observe the trend in software industry, I think shelf life of any technology/tool is just around 10 years. After some time, some new technology comes up, which completely takes over. After some years, will it be the same for MSBI? Will MSBI become obsolete? I have some queries. Can some one please give me proper guidance in it. 1) Is it a good choice for my experience/skill set to learn Data Science now? 2) If I choose Data Science, will my MSBI learning for these 5 yrs be a waste?. 3) Is there any similarity between MSBI and Data Science? 4) Or should I concentrate on becoming an MSBI expert instead of learning all new stuff that comes in? Thanks in advance, Raksha
This is utterly down to opinion, so there's not going to be a right answer found on this forum. Data science is a huge term that basically goes way beyond any one tool set and gets into a whole new realm of activity. You'll have to go back to school and go for a doctorate. It's likely to take about five years from this point, and that assumes you already have your first four year degree. And even then, you'll only have all the theory. You'll need to find a position at a company where you can put that stuff to work. Based on my own career, I don't agree that software has a 10 year shelf life. I've been working almost exclusively with SQL Server since 1995. That's coming up on 20 years with one technology, and from what I can tell, it's probably got at least another 5-10 years on it. It's been a full-time and lucrative career, not just a job. So I guess the real question back to you is, do you want a job, a career, or a new career? To answer your specific questions: 1. What you've done is not preparation for a data science position, so making the switch is not a part of a progression from where you are to where you want to go, but a determination if going back to school full time is possible, or, if you want to spend 10 years getting to be a data scientist while working. 2. A waste? No. But only tangentially applicable. 3. Similarity? Yes, but only it's mainly a question of the BI tools you've been working with are a means to an end and that end is determined by a whole different set of requirements and methods from the data scientist. 4. Back to school or not is something I can't tell you, you'll have to tell yourself.
Hi, As a start i faced the difficulties which a fresher faces. I was put into a project which had just started then, for the first 3 months I had no work to be assigned, then I was told to learn powershell, this went for 2 months then they hired an experienced one for the same....then I was put into manual testing, this went around for 9 months..then I got Sql which I had interest on...i learned basics and worked as T-SQL developer for 7-8 months..then our project suddenly had a break down...and now m in bench for 2-3 months....so as m searching for a new job...my profile is not that valuable for good offers...so m planning to learn and go ahead with MS BI.. Please guide me, as per my situation, as if what should be done so that it enhances my career. Ur opinion wud be of great motivation for me Thanks, Atal