Tag: data science
How In-Memory Analytics is Solving Data Woes
The importance of data to business decisions and operations cannot be understated. On a daily basis, 2.5 quintillion bytes of data is generated. Managing that much data so the necessary intelligence is ...
3 Steps to Building Data Science Models
Have you ever considered supplementing your development skills with some data science? Expand your range and follow this quick tutorial on how to build your own predictive models using open datasets, Jupyter ...
GitHub Applies Data Science to Managing Code
Over the last several years GitHub has emerged as one of the primary repositories around which application development now revolves. At its recent GitHub Universe 2017 conference, the company revealed how it ...
4 Predictive Analytics Challenges Facing SRE Teams
“Predictive analytics” refers to the many techniques used to analyze data to make predictions about the future, such as data mining, statistics, modeling, machine learning and artificial intelligence. Being able to predict ...
Data Science Industry Perspectives in the Cloud
In principle, the cloud is becoming a commodity. Google, Amazon and other companies are trying to commoditize almost everything, including the instruments for data gathering, data storage and data transformation. In the ...
Useful Big Data Terminologies, Part 1
As data continues to increase at an evermore rapid pace, organizations struggle to deal with this data torrent, let alone use it to analyze and capture value. The ways used to understand ...