Category: Data Science
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Data Analysis: Just one component of the Data Science workflow
[A version of this post appears on the O’Reilly Strata blog.] Judging from articles in the popular press the term data scientist has increasingly come to refer to someone who specializes in data analysis (statistics, machine-learning,…
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Data analysis tools target non-experts
[A version of this post appears on the O’Reilly Strata blog.] A new set of tools make it easier to do a variety of data analysis tasks. Some require no programming, while other tools make it…
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Interactive Big Data analysis using approximate answers
[A version of this post appears on the O’Reilly Strata blog.] Interactive query analysis for (Hadoop scale data) has recently attracted the attention of many companies and open source developers – some examples include Cloudera’s Impala,…
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Surfacing anomalies and patterns in Machine Data
[A version of this post appears on the O’Reilly Strata blog.] I’ve been noticing that many interesting big data systems are coming out of IT operations. These are systems that go beyond the standard “capture/measure, display…
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Big Data and Advertising: In the trenches
[A version of this post appears on the O’Reilly Strata blog.] The $35B merger of Omnicom and Publicis put the convergence of Big Data and Advertising1 in the front pages of business publications. Adtech2 companies have…
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Data scientists tackle the analytic lifecycle
[A version of this post appears on the O’Reilly Strata blog.] What happens after data scientists build analytic models? Model deployment, monitoring, and maintenance are topics that haven’t received as much attention in the past, but…
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Pattern-detection and Twitter’s Streaming API
[A version of this post appears on the O’Reilly Strata blog.] Researchers and companies who need social media data frequently turn to Twitter’s API to access a random sample of tweets. Those who can afford to…
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HBase looks more appealing to data scientists
[A version of this post appears on the O’Reilly Strata blog.] When Hadoop users need to develop apps that are “latency sensitive”, many of them turn to HBase1. Its tight integration with Hadoop makes it a…
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How signals, geometry, and topology are influencing data science
[A version of this post appears on the O’Reilly Strata blog.] I’ve been noticing unlikely areas of mathematics pop-up in data analysis. While signal processing is a natural fit, topology, differential and algebraic geometry aren’t exactly…