Implementing Big Data Analytics Using Hadoop, (Paperback)
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- The ultimate objective of this book is to help you become a professional in the field of Big Data and Hadoop and ensuring you have enough skills to work in an industrial environment and solve real world problems to come up with solutions that make a difference to this World. I tried at my best to explain the understanding on how a component in the Hadoop ecosystem works, why it works that way and how it fits into the design of the overall Hadoop framework.This book explains the Hadoop framework, followed by data analysis using MapReduce, Hive and Pig on sample use cases. Big data analysis using Amazon Elastic MapReduce (Hadoop on Amazon cloud) is also explained in detail. It also focuses on the Hadoop architecture as well as explains the Hadoop setup using Cloudera QuickStart VM. Further, MapReduce is also explained using a data analytics use case. In addition of the above, it also explains Apache Pig and Apache Hive respectively and show how these technologies can be used for solving data analysis problems as well as big data analytics using Amazon Web Services (AWS).Other Valuable Titles.... â– Edge Computing â– Fog Computing â– Python Simply In Depth â– Formal Language And Automata Theory â– Virtual Reality â– IoT Programming â– Internet of Things â– 5G Technologies
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | June, 2019 |
| Pages | 74 |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | Amazon Digital Services LLC - Kdp |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | General |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.18 x 9.00 Inches (15.2 x 0.5 x 22.9 cm) |
| Assembled product weight | 0.27 lb (120 grams) |
| Bisac subject heading | Computers |
Product Description
Implementing Big Data Analytics Using Hadoop, (Paperback)
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