Ramachandra, Karthik ; Sudarshan, S (2013) Big Data: From Querying to Transaction Processing 19th International Conference on Management of Data . p. 10.
Full text not available from this repository.
Abstract
The term Big Data has been used and abused extensively in the past few years, and means different things to different people. A commonly used notion says Big Data is about "volume" (of data), "velocity" (rate at which data is inserted/updated) and "variety" (of data types). In this tutorial, we use the term Big Data to refer to any data processing need that requires a high degree of parallelism. In other words, we focus primarily on the "volume" and "velocity" aspects. As part of this tutorial, we will cover some aspects of Big Data management, in particular scalable storage, scalable query processing, and scalable transaction processing. This is an introductory tutorial for those who are not familiar with the areas that we will be covering. The focus will be conceptual; it is not meant as a tutorial on how to use any specific
Item Type: | Article |
---|---|
Source: | Copyright of this article belongs to Association for Computing Machiner |
ID Code: | 128473 |
Deposited On: | 21 Oct 2022 10:15 |
Last Modified: | 21 Oct 2022 10:15 |
Repository Staff Only: item control page