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[ COVER OF THE WEEK ]
statistical anomaly Source
[ FEATURED COURSE]
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[ FEATURED READ]
The Black Swan: The Impact of the Highly Improbable
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[ TIPS & TRICKS OF THE WEEK]
Strong business case could save your project
Like anything in corporate culture, the project is oftentimes about the business, not the technology. With data analysis, the same type of thinking goes. It’s not always about the technicality but about the business implications. Data science project success criteria should include project management success criteria as well. This will ensure smooth adoption, easy buy-ins, room for wins and co-operating stakeholders. So, a good data scientist should also possess some qualities of a good project manager.
[ DATA SCIENCE Q&A]
Q:What is star schema? Lookup tables?
A: The star schema is a traditional database schema with a central (fact) table (the observations, with database keys for joining with satellite tables, and with several fields encoded as IDs). Satellite tables map IDs to physical name or description and can be joined to the central fact table using the ID fields; these tables are known as lookup tables, and are particularly useful in real-time applications, as they save a lot of memory. Sometimes star schemas involve multiple layers of summarization (summary tables, from granular to less granular) to retrieve information faster.
Lookup tables:
– Array that replace runtime computations with a simpler array indexing operation
Source
[ VIDEO OF THE WEEK]
#FutureOfData with @CharlieDataMine, @Oracle discussing running analytics in an enterprise
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[ QUOTE OF THE WEEK]
What we have is a data glut. Vernon Vinge
[ PODCAST OF THE WEEK]
@AmyGershkoff on building #winning #DataScience #team #FutureOfData #Podcast
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[ FACT OF THE WEEK]
According to execs, the influx of data is putting a strain on IT infrastructure. 55 percent of respondents reporting a slowdown of IT systems and 47 percent citing data security problems, according to a global survey from Avanade.