Career in Data Science? Don’t Forget Intangibles

Are you wondering about the hype around Data Science? Data says that it’s not a hype anymore. Glassdoor released its Report of 50 Best jobs in America in 2017. With a job score of 4.8 out of 5, a job satisfaction score of 4.4 out of 5, and a median base salary of $110,000, Data Scientist jobs came in first for the second year in a row. 

IBM predicts demand for Data Scientists will soar 28% by 2020. 

Kafka 1.0 - New Release

Apache Kafka is a distributed streaming platform for publishing and subscribing, storing, and processing streaming data at scale and in real-time. It has become an awesome tool for a durable system of data collection platforms.

The new release (Kafka 1.0.0) provides the following enhancements:

Data Visualization in Data Science

“If you’re trying to extract useful information from an ever-increasing inflow of data, you’ll likely find visualization useful – whether it’s to show patterns or trends with graphics instead of mountains of text, or to try to explain complex issues to a nontechnical audience.” So writes InfoWorld’s Sharon Machlis.

Standard Methodology for Analytical Models




In this document, the Standard Methodology for Analytical Models (SMAM) is described. A short overview of the SMAM phases can be found in Table 1. The most frequent used methodology is the Cross Industrial Standard Processes for Data Mining (CRISP-DM)[1], which has several shortcomings that translate into frequent friction points with the business when practitioners start building analytical models.