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Like Agile software development, Agile Data Analytics is established on a set of core values and guiding principles. It is not a rigid or prescriptive methodology; rather it is a style of building a data warehouse, data marts, business intelligence applications, and analytics applications that focuses on the early and continuous delivery of business value throughout the development life-cycle. In practice, Agile Analytics consists of a set of highly disciplined practices and techniques, some of which may be tailored to fit the unique data warehouse/business intelligence (DW/BI) project demands found in your organization.

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Case Study: Movie Review Sentiment Analysis
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The below website and paper provides details and live demo for predicting the sentiment of movie reviews. http://nlp.stanford.edu/sentiment/ http://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf One the concept is understood, we can create a team to work on a interesting text mining contest at Kaggle, the details are as below: http://www.kaggle.com/c/sentiment-analysis-on-movie-reviews I need the following help for the members: 1. Understand and explain the sentiment analysis whitepaper from Stanford site as above. 2. Discuss the Kaggle sentiment analysis case study 3. Toosl and technologies for Kaggle sentiment analysis case study participation. 4. Team formation and solution submission. Due to paucity of time and resources, we would prefer to meet as much online and collaborate using open source tools. Eager to view your inputs.

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top 5 tasks of hadoop developers

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