Think of “continuum” as something you start and you never stop improving upon. In my mind, Business Analytics Continuum is continuous investment of resources to take business analytics capabilities to next level. So what are these levels?
Here are the visual representation of the concept:
SQL, Excel & Tableau-like tools are good enough to start. Then add something like R eventually. And then there are tools that are specific to the industry – example: Google Analytics for the tech industry.
Other than that, you should know what do with these tools. You need to know following concepts and continuously build upon that as the industry use-cases and needs evolve:
Presented at #sqlpass summit 2015.
I was at the HP Big data conference last week and I heard something during the keynote that’s worth sharing with you.
As Data & Analytics professionals, we spend a lot of our time on finding insights, trends & patterns out of the data but the keynote speaker (Ken Rudin, Facebook) encouraged everyone to take that a step further = Think about Driving impact based on the insights. It’s simple yet a powerful idea! Over past few months, I have started working closely with decision makers and helping drive impact vs just “handing-off” insights.
Don't strive for actionable insights but focus on taking it to next level: drive impact – Ken Rudin #HPBigData2015
— Paras Doshi (@paras_doshi) August 12, 2015
I hope that helps! Just wanted to share that with you. What do you think?
R is a popular tool among data scientists because it’s just like a Swiss Army knife (or may be more!) for them!
Analogy credit: Tapping the Data Deluge with R by Jeffrey Breen
Sometime back I worked on a research project that involved writing some R code – we were searching for tools ways to pull data from multiple social networks, perform text analysis and create effective data visualizations. R seemed like a great tool & so I was searching for a book/guides that teaches me fundamentals I needed to know to get few R related things done. One of the books that I used often during the research project was “R in nutshell”. I didn’t read it cover-to-cover but it was a great reference book for me. I used to read guides online/other-books and then I used to combine information from this book to get stuff done. The section I liked the most was on Data visualization which included some great code snippets to create effective data visualization using ggplot2 library. I used to take code snippets from this book & apply it on data-sets that I had.
Fun stuff!
Also, I liked it that the book has some end-to-end examples that cover the entire life cycle of data analysis/statistical-analysis.
Summary:
I recommend this book as a “reference” for someone who started working with R.
Note:
I received a copy of this book as part of OREILLY’s Blogger program. Thanks OREILLY! If you are a blogger, you should check out that program!
Recently, PASS hosted a 24hop business analytics event:
it’s #24hop (Business Analytics edition) time! 24hoursofpass.com #sqlpass
— Paras Doshi (@paras_doshi) January 30, 2013
And now, the 12 one hour sessions ranging from data visualization, predictive analytics to Big Data are online for you to watch! They also serve as “Trailer” for what you can expect at the PASS Business Analytics conference!
Here’s the URL: http://passbaconference.com/Sessions/SneakPeeks.aspx
Have you watched any of the Business Analytics #24HOP session recordings yet? Available Now: ow.ly/htXsS #passbac #msbi
— 24hop (@pass24hop) February 8, 2013
And I was following some of these sessions live on the event day – and I can tell you, these sessions are great resources!
Also, I participated in the twitter contest (by Microsoft BI) that was happening along w/ the event – and this is what I got for my win!
That’s about it for this post. Enjoy the recordings!
This is a Quick Post, Just want to share a command to upload local data to HDFS using Hadoop Command Line.
The command looks like:
> hadoop fs -copyFromLocal input.txt input/SqrtJob/input.txt
Download Link Here:
SQL Saturday 185 (Trinidad): Why Big Data Matters? by Paras Doshi
(if you need the .ppt version of this talk, please contact me via http://parasdoshi.com/contact/)
Over the past few weeks, I have posted notes about Analyzing Twitter Data w/ R, listing them here:
In this post, I want to point out that HDInsight (Hadoop on Windows) comes with a sample datasets (log files) that you can load using the command:
1. Hadoop command Line > Navigate to c:HadoopGettingStarted
2. Execute the following command:
powershell -ExecutionPolicy unrestricted –F importdata.ps1 w3c
After you have successfully executed the command, you can sample files in /w3c/input folder:
Conclusion: In this post, we saw how to load some data to Hadoop on Windows file system to get started. Your comments are very welcome.
Official Resource: http://gettingstarted.hadooponazure.com/loadingData.html