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This book, Learning Data Mining and Data Warehousing covers all aspects of data warehousing and mining in an easy to read and understand manner. It covers a varios topics, such as data warehousing and its benefits; architecture of data warehouse; data mart, data warehousing design strategies, dimensional modeling and features of a good dimensional model; different types of schemas such as star schema, snowflake schema; fact tables and dimension tables; concept
This book, Learning Data Mining and Data Warehousing covers all aspects of data warehousing and mining in an easy to read and understand manner. It covers a varios topics, such as data warehousing and its benefits; architecture of data warehouse; data mart, data warehousing design strategies, dimensional modeling and features of a good dimensional model; different types of schemas such as star schema, snowflake schema; fact tables and dimension tables; concept of primary key, surrogate keys and foreign keys; ETL process; different types of data extraction such as immediate data extraction and deferred data extraction; Online Analytical Processing (OLAP) and need for online analytical processing etc. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation.
This book is an introduction to the art of software engineering. It is intended as a textbook for an undergraduate level course. Overall, this book will probably have the highest ROI for developers with one to three years of professional programming experience. But I recommend it to beginners as well because it helps give you more confidence when constructing software. It’s a comprehensive analysis of software construction, well written, and highly accep
This book is an introduction to the art of software engineering. It is intended as a textbook for an undergraduate level course. Overall, this book will probably have the highest ROI for developers with one to three years of professional programming experience. But I recommend it to beginners as well because it helps give you more confidence when constructing software. It’s a comprehensive analysis of software construction, well written, and highly accepted in the industry. It deals with topics such as design, coding, debugging, and testing.
The software project management is an important area of computer science and engineering. Software Project Management is focuses on how programmars and other team members can make their processes more change-adaptive. This book covers Software Project Management in ten chapters. The selected chapters closely correspond to the project management knowledge areas introduced by the Project Management Body of Knowledge, including its extension for managing software
The software project management is an important area of computer science and engineering. Software Project Management is focuses on how programmars and other team members can make their processes more change-adaptive. This book covers Software Project Management in ten chapters. The selected chapters closely correspond to the project management knowledge areas introduced by the Project Management Body of Knowledge, including its extension for managing software projects. Languge of the book is very simple and discriptive.
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