Databases Reference
In-Depth Information
analyze it and discover patterns will continue to be part of most business plans. To be
players in the future, almost all organizations will need to move away from single pro-
cessor systems to distributed computing to handle the ever-increasing demands of big
data analysis.
Having large numbers of records and documents in your NoSQL database can
complicate the process of finding one or more specific items. In our next chapter,
we'll tackle the problems of search and findability.
6.12
Further reading
Apache Flume.
http://flume.apache.org/.
Barney, Blaise. “Introduction to Parallel Computing.”
https://mng.bz/s59m
.
Doshi, Paras. “Who on earth is creating Big data?” Paras Doshi—Blog.
http://mng.bz/wHtd
.
“Expressive Power in Database Theory.” Wikipedia.
http://mng.bz/511S
.
“Federated search.” Wikipedia.
http://mng.bz/oj3i
.
Gottfrid, Derek. “The New York Times Archives + Amazon Web Services = Times-
Machine.”
New York Times
, August 2, 2013.
http://mng.bz/77N6
.
Hadoop Wiki. “Mounting HDFS.”
http://mng.bz/b0vj
.
Haslhofer, Bernhard, et al. “European
RDF
Store Report.” March 8, 2011.
http://mng.bz/q2HP
.
“Java logging framework” Wikipedia.
http://mng.bz/286z
.
Koubachi.
http://www.koubachi.com/features/system
.
McColl, Bill. “Beyond Hadoop: Next-Generation Big Data Architectures.” GigaOM,
October 23, 2010.
http://mng.bz/2FCr
.
whitehouse.gov. “Obama Administration Unveils 'Big Data' Initiative: Announces
$200 Million in New R&D Investments.” March 29, 2012.
http://mng.bz/nEZM
.
YarcData.
http://www.yarcdata.com
.
