| Author: | Jacqueline Burgess | ISBN: | 9781486429608 |
| Publisher: | Emereo Publishing | Publication: | October 24, 2012 |
| Imprint: | Emereo Publishing | Language: | English |
| Author: | Jacqueline Burgess |
| ISBN: | 9781486429608 |
| Publisher: | Emereo Publishing |
| Publication: | October 24, 2012 |
| Imprint: | Emereo Publishing |
| Language: | English |
Here's part of the content - you would like to know it all? Delve into this book today!..... : The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correlations to be found to spot business trends, determine quality of research, prevent diseases, link legal citations, combat crime, and determine real-time roadway traffic conditions.
... In 2012, Forrester Research Analyst, Mike Gualtieri criticized the 3Vs definition as too simplistic saying that volume, velocity, and variety are measures of Big Data, but what also matters is an organization's ability to handle three major activities of Big Data:
... Examples include web logs, RFID, sensor networks, social networks, social data (due to the social data revolution), Internet text and documents, Internet search indexing, call detail records, astronomy, atmospheric science, genomics, biogeochemical, biological, and other complex and often interdisciplinary scientific research, military surveillance, medical records, photography archives, video archives, and large-scale e-commerce.
... Computational social science - Tobias Preis et al. used Google Trends data to demonstrate that Internet users from countries with a higher per capita gross domestic product (GDP) are more likely to search for information about the future than information about the past.
There is absolutely nothing that isn't thoroughly covered in the book. It is straightforward, and does an excellent job of explaining all about Big Data in key topics and material. There is no reason to invest in any other materials to learn about Big Data. You'll understand it all.
Inside the Guide: Big Data, Tobias Preis, Social data revolution, Oracle Corporation, Data Intensive Computing, danah boyd, Cluster analysis, Association rule learning, Apache Hadoop
Here's part of the content - you would like to know it all? Delve into this book today!..... : The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correlations to be found to spot business trends, determine quality of research, prevent diseases, link legal citations, combat crime, and determine real-time roadway traffic conditions.
... In 2012, Forrester Research Analyst, Mike Gualtieri criticized the 3Vs definition as too simplistic saying that volume, velocity, and variety are measures of Big Data, but what also matters is an organization's ability to handle three major activities of Big Data:
... Examples include web logs, RFID, sensor networks, social networks, social data (due to the social data revolution), Internet text and documents, Internet search indexing, call detail records, astronomy, atmospheric science, genomics, biogeochemical, biological, and other complex and often interdisciplinary scientific research, military surveillance, medical records, photography archives, video archives, and large-scale e-commerce.
... Computational social science - Tobias Preis et al. used Google Trends data to demonstrate that Internet users from countries with a higher per capita gross domestic product (GDP) are more likely to search for information about the future than information about the past.
There is absolutely nothing that isn't thoroughly covered in the book. It is straightforward, and does an excellent job of explaining all about Big Data in key topics and material. There is no reason to invest in any other materials to learn about Big Data. You'll understand it all.
Inside the Guide: Big Data, Tobias Preis, Social data revolution, Oracle Corporation, Data Intensive Computing, danah boyd, Cluster analysis, Association rule learning, Apache Hadoop
