Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks for an explanation of confounding variables and why they’re important in data science projects.
Download this whitepaper today to learn best practices for deploying GPFS-FPO as a file system platform for big data analytics. The goal of this paper is to guide the administrator through various decision points to ensure optimal configuration based on the Hadoop application components being deployed.
Provided by our friends over at Edureka, Module 1 of their Apache Cassandra course below discusses the fundamental concepts of using a highly-scalable, column-oriented database to implement appropriate use cases.
Savvy retailers are harnessing the power of big data by combining data from a number of sources such as web browsing patterns, social media and industry forecasts. They are using big data to predict trends, prepare for demand, optimize pricing, and ultimately to improve each customer’s experience to increase acquisition and retention rates.