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Python for Data Engineering: Build ETL Pipelines and Handle Big Data Efficiently with Python
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LAP Lambert Academic Publishing
Efficient and Reliable Cloud Architecture for Big Data Handling
Product Code:
9783659817038
ISBN13:
9783659817038
Condition:
New
$37.25
Efficient and Reliable Cloud Architecture for Big Data Handling
$37.25
The objective of this book is to introduce a Cloud computing framework which is feasible and necessary for handling huge data. National ID database structure of Bangladesh which is prepared by election commission of Bangladesh is considered for this book. An interactive graphical user interface for Bangladeshi People Search (BDPS) for a hybrid structure is used as an example. Discussion on Eucalyptus and Amazon Web Service (AWS) is presented for understanding locally hosted cloud and remote cloud. Implementation of apache Hadoop and HiveQL is discussed briefly. Some common limitations of big data handling is also pinpointed. A new approach for handling public data visibility problem is also addressed in this book. This book would be useful for developing a system based on cloud computing.
| Author: Tarannum Narzu |
| Publisher: LAP Lambert Academic Publishing |
| Publication Date: Jan 12, 2016 |
| Number of Pages: 128 pages |
| Binding: Paperback or Softback |
| ISBN-10: 3659817031 |
| ISBN-13: 9783659817038 |
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