Wrangling Big Data Through Diversity, Research Education and Partnerships

Wrangling Big Data Through Diversity, Research Education and Partnerships.

© 2015 Californian Journal of Health Promotion. All rights reserved.

Data Wrangling for Big Data: Towards a Lingua Franca for Data Wrangling

Data Wrangling for Big Data: Challenges and Opportunities

Data wrangling is the process by which the data required by an application is identified, extracted, cleaned and integrated, to yield a data set that is suitable for exploration and analysis. Although there are widely used Extract, Transform and Load (ETL) techniques and platforms, they often require manual work from technical and domain experts at different stages of the process. When confront...

Introducing Data Science to Undergraduates through Big Data: Answering Questions by Wrangling and Profiling a Yelp Dataset

There is an insatiable demand in industry for data scientists, and graduate programs and certificates are gearing up to meet this demand. However, there is agreement in the industry that 80% of a data scientist’s work consists of the transformation and profiling aspects of wrangling Big Data; work that may not require an advanced degree. In this paper we present hands-on exercises to introduce ...

Lessons Learned: Building a Big Data Research and Education Infrastructure

Big data is an emerging technology which has been growing and evolving rapidly in related research, development, and applications. It is used by major corporations and government agencies to store, process, and analyze huge volumes and variety of data. The open source Apache Hadoop platform and related tools are becoming the de facto industry standard for big data solutions. It is a very powerf...