Johannes Thönes talks to Dr. Ken Collier, Director of Agile Analytics at ThoughtWorks about Agile Analytics. The outline includes: descriptive analytics, predictive analytic and prescriptive analytics; artificial intelligence, machine learning, data mining and statistics; collaborative filtering; data science and data scientists; data warehousing and business intelligence; online analytical processing (OLAP), extract transform load (ETL), feature engineering, agile processing pipeline (kenfrastructure), big data, what is agile and what does it mean in analytics. They wrap up with talking about the future of data science and the ethics of big data analytics. The example used in this episode is Amazon’s anticipatory shipping and a credit fraud detection.
Venue: ThoughtWorks North American Away Day, The Westin Peachtree, Atlanta, Geogia
Show Notes
Related Links
- Tools for Data Scientists
- The R Language: http://www.r-project.org
- Python: https://www.python.org
- Mathlab: http://www.mathworks.com/products/matlab
- SAS: http://www.sas.com
- Big Data Platforms
- Hadoop: http://hadoop.apache.org
- Cassandra: http://cassandra.apache.org
- Agile Processing Pipeline
- Apache Kafka (big data messaging): http://kafka.apache.org
- Big Data Paper: 3D Data Management: Controlling Data Volume, Velocity and Variety by Dough Laney, Gartner
- Martin Fowler Episodes
- Episodes about Agile Practices
- Agile Data Science: Building Data Analytics Applications with Hadoop by Russell Jurney
- Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing by Ken Collier
- Ken Collier
- Website – http://theagilist.com/
- Twitter – @theagilist
- E-Mail – kencollier <at> theagilist <dot> com
- Speaking at IM 2014, Copenhagen, September 3rd 2014: http://im2014.net/
- Speaking at TDWI BI Symposion, London, September 8th to 10th 2015: http://events.tdwi.org/events/london-bi-symposium-2014/home.aspx
