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Data Journey

About Data Journey

Every one of us generates an enormous amount of data every day through mobile devices or through social media, like Facebook, Instagram, or Twitter, or through any digital transactions like online shopping, banking transactions, etc. Organizations use those data for better understanding of business and customer behaviours. Data Journey, addresses all the key processes that involve converting raw data into insight. It deals in detail with the major and latest techniques, in each data journey stage, which include data collection, data storage, data transformation, data analysis, and data visualization. The book contains an overview of different AI/ML, Data mining, and Big Data techniques. It is also helpful to understand data security and governance. Multiple use cases are included in the topic, that will help to understand the importance of particular topics, and how industries are solving industrial challenges using the data. This book can serve as an excellent handbook, for researchers and anyone, who wants to learn more about the data and everything about the data.

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  • Language:
  • English
  • ISBN:
  • 9789395266314
  • Binding:
  • Paperback
  • Pages:
  • 288
  • Published:
  • March 12, 2023
  • Dimensions:
  • 152x18x229 mm.
  • Weight:
  • 471 g.
Delivery: 1-2 weeks
Expected delivery: December 29, 2024
Extended return policy to January 30, 2025
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    Cannot be delivered before Christmas.
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Description of Data Journey

Every one of us generates an enormous amount of data every day through mobile devices or through social media, like Facebook, Instagram, or Twitter, or through any digital transactions like online shopping, banking transactions, etc. Organizations use those data for better understanding of business and customer behaviours. Data Journey, addresses all the key processes that involve converting raw data into insight. It deals in detail with the major and latest techniques, in each data journey stage, which include data collection, data storage, data transformation, data analysis, and data visualization.

The book contains an overview of different AI/ML, Data mining, and Big Data techniques. It is also helpful to understand data security and governance. Multiple use cases are included in the topic, that will help to understand the importance of particular topics, and how industries are solving industrial challenges using the data.

This book can serve as an excellent handbook, for researchers and anyone, who wants to learn more about the data and everything about the data.

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