Udvidet returret til d. 31. januar 2025

Data Journey

Bag om 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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789395266314
  • Indbinding:
  • Paperback
  • Sideantal:
  • 288
  • Udgivet:
  • 13. marts 2023
  • Størrelse:
  • 152x18x229 mm.
  • Vægt:
  • 471 g.
  • BLACK NOVEMBER
Leveringstid: 2-3 uger
Forventet levering: 25. november 2024

Beskrivelse af 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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