data-architecture-a
Fig. 3.1.10 shows some of the major reasons why there is transformation inside the end- state architecture. Fig. 3.1.10 Going to ...
Chapter 4.1 A Brief History of Big Data Abstract There are different definitions of big data. The definition used here is that b ...
Fig. 4.1.1 The battlefield. In Fig. 4.1.1, we see that an army has placed a cannon on top of a ridge, thus taking a position of ...
taking the high ground. Whatever company has the DBMS that serves the largest amount of data is the company that enjoys a comman ...
In short, in the early days, there was chaos. Standardization With the 360 Then, IBM introduced the 360 line of processors. The ...
transaction processing, the computer took on a role of importance never before envisioned. With online transaction processing, t ...
associated vendors were satisfied with being a niche player in the marketplace even though Hadoop had entered into even higher g ...
Chapter 4.2 What Is Big Data? Abstract There are different definitions of big data. The definition used here is that big data en ...
Big data is data that is stored in very large volumes, data that is stored on inexpensive storage, data that is managed by the “ ...
storage, the cost of big data would be prohibitive. In order to be a practical and useful solution, big data, of necessity, must ...
way there, Mary had a little baby boy—named Jesus—in a manger. And the shepherds flocked to see this baby boy. And Magi came and ...
Fig. 4.2.1 A standard data base structure. In order to load the data into the DBMS, there needs to be a careful definition of th ...
Click stream data Metered data Telephone call record data Analog data Many more types of repetitive records Fig. 4.2.3 Different ...
the repetitive records have the same identifying information in exactly the same structure. Fig. 4.2.5 Repetitive records have t ...
found in nonrepetitive records is very erose. There simply is no pattern to the contextual information found in nonrepetitive da ...
In later chapters, the subject of textual disambiguation will be addressed. It is through textual disambiguation that context in ...
Fig. 4.2.9 A different perspective. Fig. 4.2.9 shows that from the perspective of business value that the vast majority of value ...
Chapter 4.3 Parallel Processing Abstract There are different definitions of big data. The definition used here is that big data ...
Fig. 4.3.1 A lot of data. There are so much data that need to be handled by big data that trying to load, access, and manipulate ...
Fig. 4.3.2 Processors linked together to provide parallel processing. Fig. 4.3.2 shows that multiple processors are linked toget ...
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