Jessica M. Moss

Data science and data scientists are all the rage right now in the information technology space. Every company wants one; every job candidate touts they are one. But what actually does that mean to companies and potential employees? I decided to take a course on data science to see if I could find out! My co-worker, Gabriella Melki, recommended the Coursera Data Science specialization by John Hopkins Bloomberg School of Public Health. The entire specialization contains a set of 9 courses, but you can take each one individually. I started with the first course, called "The Data Scientist's Toolbox". Over the four week timeframe, I was able to view lectures and perform the assignments at my own pace. I've listed below my thoughts on the course and what I learned about data science. Week 1: Introduction to Data Science Data science is about data , specifically about answering questions, and science , following a method to discover an answer. A data scientist is the ...

" The development tool for SQL Server business intelligence packages is missing! " says almost every developer who installs SQL Server 2014. It's okay, don't panic.  Microsoft decided to separate the installer for the server and the installer for the development environment.  Unfortunately, the next statement by almost every developer who installs SQL Server 2014 is " There are MULTIPLE SQL Server Data Tools?!? ".  Also not a problem, let's talk about the difference options and how to get the correct software on your machine. Option 1 is SQL Server Data Tools (the original), which is a template for Visual Studio that allows you to create and store information on databases and database objects.  This tool is part of Visual Studio.  For more information, see: http://msdn.microsoft.com/en-us/data/hh297027 . Option 2/3 are SQL Server Data Tools - Business Intelligence, which contain the templates for SSIS, SSAS, and SSRS (the standard BI to...

Extensibility in SQL Server Integration Services and SQL Server Reporting Services is achieved by writing custom code inside your package or report. SSIS provides a great interface by using Visual Studio for Applications (2005) or Visual Studio Tools for Applications (2008), lightweight versions of the Visual Studio IDE. When you create a script task or component, you can write code using intellisense and error squiggles. SSRS, on the other hand, does not provide any IDE for writing custom code. If you want to create VB functions, you have a notepad-like window without colors, intellisense, or any error handling. In comes SnippetCompiler, an application that allows you to write and compile snippets of code. You can download the executable here: http://www.sliver.com/dotnet/SnippetCompiler/ . The current version allows code in both VB.NET 2.0 and C# 2.0. A .NET 3.5 version is in Alpha release and can be downloaded from the same location. Keep in mind that if you minimize the app...