Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
Abe's rating:
  4.0
On Sep 20, 2014 Abe Taha wrote: Mining the Social Web, by Mathew Russell, O'Reilly Media
"Mining the social web" is a book about how to access social data from the most popular social services today by using the services' public APIs, and analyzing the retrieved data to gain insights about it. Full Review >
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Abe's rating:
4.0
On Oct 25, 2013 Abe Taha wrote: Readable and encyclopedic
One of the areas often overlooked when writing software systems is thoroughly understanding what needs to be developed. Specifically who are the users that are going to interact with the system, what are they trying to accomplish with the software, and how is the system expected to behave under normal and error conditions. In short, developing software requirements and specifications before the software is written.
"Software Requirements 3" addresses these questions, with clear answers and advice in a rather longish format of roughly 673 pages. Full Review >
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Streamlined Enterprise Data Management and Analysis
Abe's rating:
3.0
On Aug 15, 2013 Abe Taha wrote: Gentle introduction to Cascading
Since Cascading has been around for some time, the online documentation is relatively mature, and includes a gentle introduction to the library, with example source code, and a well written user's guide. However this does not obviate the need for a book that describes the library and walks the reader gently through its usage and subtleties. "Enterprise Data Workflows with Cascading" is such a book.
The book starts with a simple example of copying a file on Hadoop, and introduces the concepts of taps for data sources, and data sinks, as well as data pipes that connect them. It then graduates to the canonical word count example, using it as a vehicle to explain flows, and the operations that can be performed on them through the use of functions and aggregation functions.
Full Review >
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