- Author : Shashank Tiwari
- Language : English
- Published : 2011
- Page : 386
THE GROWTH OF
USER-DRIVEN CONTENT has fueled a rapid increase in the volume and type of
data that is generated, manipulated, analyzed, and archived. In addition,
varied newer sets of sources, including sensors, Global Positioning Systems
(GPS), automated trackers and monitoring systems, are generating a lot of data.
These larger volumes of data sets, often termed big data, are imposing
newer challenges and opportunities around storage, analysis, and archival.
In parallel to the fast
data growth, data is also becoming increasingly semi-structured and sparse. This means the traditional data management techniques
around upfront schema defi nition and relational references
is also being questioned.
The quest to solve the
problems related to large-volume and semi-structured data has led to the emergence of a class of newer types of database
products. This new class of database products consists of column-oriented data stores, key/value
pair databases, and document databases. Collectively, these are identifi ed as NoSQL.
The products that fall
under the NoSQL umbrella are quite varied, each with their unique sets of features and value propositions. Given this, it often
becomes diffi cult to decide which product to use for the case at hand. This book prepares you to
understand the entire NoSQL landscape. It provides the essential concepts that act as the building blocks
for many of the NoSQL products. Instead of covering a single product exhaustively, it provides a
fair coverage of a number of different NoSQL products. The emphasis is often on breadth and
underlying concepts rather than a full coverage of every product API. Because a number of NoSQL products
are covered, a good bit of comparative analysis is also
included.
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