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Fig. 9.2.6 Typical contents of a log tape.

The analysis of repetitive data starts with access to the means by which big data is stored.
In many instances, big data is stored in Hadoop. However, there are other technologies
(such as Huge Data) that can manage store and manage large amounts of data.


In an earlier day and age where there were only structured database management
systems, the DBMS itself did much of the basic data management. But in the world of big
data, much of the management of the data is up to the user.


Fig. 9.2.7 shows some of the different ways in which basic data management needs to be
done in big data.


Fig. 9.2.7 Different means of accessing big data.

Fig. 9.2.7 shows that with Hadoop, you can access and analyze data through an interface,
that you can access and parse data, that you can directly access the data and do basic
functions yourself, that there are load utilities, and that there are other data management
utilities. Most of the focus on the technology that directly accesses data in big data is
concerned with two things:


The reading and interpretation of the data

Chapter 9.2: Analyzing Repetitive Data
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