Click to learn more about Dave Karow. What good is data without context? Most teams have multiple sources of data that capture customer behavior and application performance, but few have connected the dots between that data and individual code changes. Watching for a spike in a graph after doing a deployment may be “easy,” but […]
What a Lovely Decouple: Why Decoupling Deploy from Release Is a Game Changer
Click to learn more about author Dave Karow Recently a very important question within the DevOps world was asked on Twitter. The question posed was whether or not everyone knew that deployment frequency can be decoupled from feature release frequency. Shockingly, the replies and retweets showed that for many, the answer was no. The concept […]
In IT and Data, You Need to Skill Up to Keep Up
Click here to learn more about Sascha Giese. Skilling up becomes more important (and necessary) every day. Tech environments are more complex now than ever before, and they’re only going to become more complex as new technologies emerge and legacy tech remains. Tech pros know they have to develop skills both inside and outside their […]
How Culture, Data, and Skills Serve as Barometers for Organizational Data Science Preparedness
Click to learn more about author Steve MacLauchlan. I’ve had the good fortune over my career of working with many different organizations across many different industries. Often, I’ve been in an advisory role assisting organizations with getting a handle on their data assets and finding value in the insights those assets can provide. When data is […]
M.S. in Data Science Curriculum
Click to learn more about author Steve Miller. I’ve been blogging on Business Intelligence/Analytics/Data Science for 12 years. And I’ve been recruiting analytics candidates from top colleges for my consulting firms for even longer. Those who read my blogs know I’m pretty opinionated about what I look for in new grads, preferring students committed to […]
Evidence or Politics – the Skeptic Seeks Answers with R
Click to learn more about author Steve Miller. I’m often asked about the skillsets of top analytics professionals/Data Scientists. My response is always a deep background in statistics and Machine Learning in addition to strong capabilities in Data Management and computation. On the less technical side is knowledge of the business (or other) environment plus […]
RPI’s and R: Evaluating Performance of NCAA Athletic Conferences
Click to learn more about author Steve Miller. It’s Fall championship time for NCAA D1 college sports. On Sunday 12/3, college football announced its final four to commence New Year’s day, and other championship tournaments such as men’s and women’s soccer and women’s volleyball are currently in progress. A major challenge before the start of […]
Internet of Things Platforms and Projects: 3 Programming Languages Worth Knowing
Click to learn more about author Ashish Trikha. Love it or hate it, but the Internet of Things (IoT) is not going away anytime soon. In recent times, the Internet of Things has permeated our day to day lives to improve the way we live, the way we work, and the way we entertain. In […]
SAS, R, and Python for Analytics
Click to learn more about author Steve Miller. I did a short consulting gig last year with a company that was building an analytic app driven largely from a web-based data repository. The data were stored as a collection of SAS data sets which “customers” would subset by uploading SAS data step and proc SQL […]
What Is Structured Query Language (SQL)?
Structured Query Language, or SQL, is a programming nomenclature used to do set operations (like union, intersect, and minus) to organize and retrieve information in relational databases, based on “set theory and relational algebra.” According to DAMA International’s Data Management Body of Knowledge, in any system that uses SQL, “data elements or attributes, categorized into […]