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Science Data Science

We commonly hear about "data science" in the context of mining marketing or business data, especially "Big Data", but of course scientists have been practicing statistics for centuries.

Timeline of Statistics.

But recall data science is more than just statistics, from Drew Conway's famous Venn Diagram:

Gordon Moore Foundation Giving USD $1.5 Million to Data Scientists

Moore’s new law is that big data will lead to big science. The Gordon and Betty Moore Foundation plans to give USD $1.5 million grants (in $200 000 to $300 000 yearly installments) to 15 worthy interdisciplinary scientists who can develop and use new algorithms, machine learning techniques, and other data-intensive science tricks to turn huge volumes of data into amazing scientific discoveries.

Data Engineering is the foundation of the "big data" buzz.

If you are a well read professional, chances are you are well aware of the big data era. But still to provide a background, here is how I define the big data age :

  "With the recent advancement in the way we store,manage and process data, Companies can afford to get deeper insights in their data at the same or rather less cost than a decade ago."

Real-time data science

Looking back on 2013, the world of Hadoop emerged from the era of batch processing and into streaming processing. In the context of "crisp and actionable," actionable often comes with an expiration date. If you don't take action soon enough, it's too late.

Top 5 Big Data Trends for Major Enterprise Projects

1. The hybrid data cloud.
2. Mobility is driving big data investment.
3. Big data can surround and enhance existing applications.
4. Internet of Things will make current big data projects look like small stuff.
5. Big innovation is coming to the front end of the data spectrum.

Read more at http://www.eweek.com/enterprise-apps/top-five-big-data-trends-highlighted-in-major-enterprise-projects.html

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