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Beschreibung
Unveiling insights, unleashing potential: Navigating the depths of data warehousing and mining for a data-driven tomorrow

¿¿DESCRIPTION
Data warehouse and data mining are essential technologies in the field of data analysis and business intelligence. Data warehouse provides a centralized repository of structured data and facilitates data storage and retrieval. Data mining, on the other hand, utilizes various algorithms and techniques to extract valuable patterns, trends, and insights from large datasets.

The book explains the ins and outs of data warehousing by discussing its principles, benefits, and components, differentiating it from traditional databases. The readers will explore warehouse architecture, learn to navigate OLTP and OLAP systems, grasping the crux of the difference between ROLAP and MOLAP. The book is designed to help you discover data mining secrets with techniques like classification and clustering. You will be able to advance your skills by handling multimedia, time series, and text, staying ahead in the evolving data mining landscape.

By the end of this book, you will be equipped with the skills and knowledge to confidently translate business questions into actionable strategies, extracting valuable insights for informed decisions.

WHAT YOU WILL LEARN
¿ Designing and building efficient data warehouses
¿ Handling diverse data types for comprehensive insights
¿ Mastering various data mining techniques
¿ Translating business questions into mining strategies
¿ Techniques for pattern discovery and knowledge extraction

WHO THIS BOOK IS FOR
From aspiring data analysts, data professionals, IT managers, to business intelligence practitioners, this book caters to a diverse audience.
Unveiling insights, unleashing potential: Navigating the depths of data warehousing and mining for a data-driven tomorrow

¿¿DESCRIPTION
Data warehouse and data mining are essential technologies in the field of data analysis and business intelligence. Data warehouse provides a centralized repository of structured data and facilitates data storage and retrieval. Data mining, on the other hand, utilizes various algorithms and techniques to extract valuable patterns, trends, and insights from large datasets.

The book explains the ins and outs of data warehousing by discussing its principles, benefits, and components, differentiating it from traditional databases. The readers will explore warehouse architecture, learn to navigate OLTP and OLAP systems, grasping the crux of the difference between ROLAP and MOLAP. The book is designed to help you discover data mining secrets with techniques like classification and clustering. You will be able to advance your skills by handling multimedia, time series, and text, staying ahead in the evolving data mining landscape.

By the end of this book, you will be equipped with the skills and knowledge to confidently translate business questions into actionable strategies, extracting valuable insights for informed decisions.

WHAT YOU WILL LEARN
¿ Designing and building efficient data warehouses
¿ Handling diverse data types for comprehensive insights
¿ Mastering various data mining techniques
¿ Translating business questions into mining strategies
¿ Techniques for pattern discovery and knowledge extraction

WHO THIS BOOK IS FOR
From aspiring data analysts, data professionals, IT managers, to business intelligence practitioners, this book caters to a diverse audience.
Über den Autor
Dr. Jugnesh Kumar is working as a professor in the Computer Science and Engineering department at Echelon Institute of Technology, Faridabad. He has more than 18 years of teaching experience. He holds an [...] and PhD in computer science and engineering.
Details
Erscheinungsjahr: 2024
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9789355517340
ISBN-10: 9355517343
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Kumar, Jugnesh
Hersteller: BPB Publications
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 235 x 191 x 12 mm
Von/Mit: Jugnesh Kumar
Erscheinungsdatum: 25.01.2024
Gewicht: 0,413 kg
Artikel-ID: 128374638

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