l'Ishwar incroyable Nataraj

On Monday 6/13/2016, Microsoft announced its acquisition of LinkedIn. This is a major game changer in the world of IT. But before we get to some of the advantages of this acquisition, Microsoft actually was working on a LinkedIn killer on its CRM dynamics platform. The idea was to generate more footprint for its CRM solution as well as create something unique with it. This was started in early 2012 and was way before its actual acquisition of LinkedIn. Here are my thoughts into where this acquisition will lead Microsoft & LinkedIn to: Microsoft gains a huge database of professionals and organizations in various streams: This alone is the most massive gain by Microsoft. It could start targeting professionals/organizations to either move onto the Microsoft platform or join the Microsoft platform which can bolster its sales by a huge margin/ Microsoft integration of LinkedIn ads with Bing: Just imagine an organization trying to establish a marketing campaign. Now with LinkedIn a...

The following are basically my notes while studying R and is meant as a reference point for myself Just a few pointers to anyone preparing for R or studying R: Take a quick look at your statistical math basics before proceeding Before applying any formula on your base data, try to understand what the formula is and how it was derived (this will make it easier for one to understand) Use it in tangent with the Data Analysis in Excel Refer to the cheat sheets available on  https://www.rstudio.com/resources/cheatsheets/ Segregate the workbench for each module There are best practices that can be incorporated while programming in R Try and jot notes when and where one can...  Refer to existing data-sets embedded in R before jumping into a data.gov file Refer to R programs written already in Azure ML rnorm() by default has mean 0 and variance 1 head() has its own built in precision *default settings in R can be modified by the options() function example: ...

Setting the Hadoop files prior to Spark installation on Win 10: 1. Ensure that your JAVA_HOME is properly set. A recommended approach here is to navigate to the installed Java folder in Program Files and copy the contents into a new folder you can locate easily for eg:- C:\Projects\Java . 2. Create a user variable called JAVA_HOME and enter " C:\Projects\Java " 3. Add to the path system variable the following entry: " C:\Projects\Java\Bin; " 4. Create a HADOOP_HOME variable and specify the root path that contains all the Hadoop files for eg:- " C:\Projects\Hadoop " 5. Add to the path variable the bin location for your Hadoop repository: " C:\Projects\Hadoop\bin " <Keep  track of your Hadoop installs like C:\Projects\Hadoop\2_5_0\bin> 6. Once these variables are set, open command prompt as an administrator and run the following commands to ensure that everything is set correctly: A] java B] javac C] Hadoop D] Hadoop Version 7. ...

A few Tableau dashboards I have published off late to give a flair for different visualizations within Tableau:

Just created a Xamarin Android mobile application . Extremely easy to use and did not require much reading the resources to understand how to go about building it. The first iteration is as shown in the figure below: Though the emulator (Nexus 5 through 7) did not render as clearly I wanted it to, but still a great start for v1.0. The next version would basically integrate with Google maps. As soon as one clicks the app, you get a splash screen and then navigate to Cyclotron's main menu from where you can navigate to the layouts. The support aspect would also be a part of the next iteration of the app along with the Login. There were a few more images added to the individual activities . Probably leverage this article as the initial help on how to use the app.... The follow up items are as follows: 1. Integration with Google Maps 2. Synchronization with Cyclotron's support database 3. Login for Support 4. Tweak the UI 5. Replicate for IOS

Sample piece of code to parse Excel files with regular expressions using Excel Query (The first piece does not loop through all the rows to make it more efficient and fetches the resultant set based on the first row. The second piece goes through all the columns and finds a match): //This piece uses ExcelQuery --> using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.IO; using System.Text; using System.Web.UI; using System.Text.RegularExpressions; using System.Web.UI.WebControls; using Scanning; using System.Data; using Innovative.Data; //Install ExcelQuery namespace WebApplication1 {     public partial class WebForm1 : System.Web.UI. Page     {          protected void Page_Load( object sender, EventArgs e)         {         ...