001441835 000__ 04522cam\a2200541Ii\4500
001441835 001__ 1441835
001441835 003__ OCoLC
001441835 005__ 20230309003345.0
001441835 006__ m\\\\\o\\d\\\\\\\\
001441835 007__ cr\cn\nnnunnun
001441835 008__ 220208s2021\\\\sz\a\\\\ob\\\\000\0\eng\d
001441835 019__ $$a1296266798$$a1296404610$$a1296418913
001441835 020__ $$a9783030819798$$q(electronic bk.)
001441835 020__ $$a3030819795$$q(electronic bk.)
001441835 020__ $$z9783030819781
001441835 020__ $$z3030819787
001441835 0247_ $$a10.1007/978-3-030-81979-8$$2doi
001441835 035__ $$aSP(OCoLC)1295592788
001441835 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dN$T$$dOCLCO$$dOCLCF$$dOCLCO$$dOCLCQ
001441835 049__ $$aISEA
001441835 050_4 $$aQA76.9.D37$$bT36 2021
001441835 08204 $$a005.74/5$$223
001441835 1001_ $$aTaniar, David,$$eauthor.
001441835 24510 $$aData warehousing and analytics :$$bfueling the data engine /$$cDavid Taniar, Wenny Rahayu.
001441835 264_1 $$aCham :$$bSpringer,$$c[2021]
001441835 264_4 $$c©2021
001441835 300__ $$a1 online resource :$$billustrations (some color).
001441835 336__ $$atext$$btxt$$2rdacontent
001441835 337__ $$acomputer$$bc$$2rdamedia
001441835 338__ $$aonline resource$$bcr$$2rdacarrier
001441835 4901_ $$aData-centric systems and applications
001441835 504__ $$aIncludes bibliographical references.
001441835 5050_ $$a1. Introduction -- Part I: Star Schema -- 2. Simple Star Schemas -- 3. Creating Facts and Dimensions: More Complex Processes -- Part II: Snowflake and Bridge Tables -- 4. Hierarchies -- 5. Bridge Tables -- 6. Temporal Data Warehousing -- Part III: Advanced Dimension -- 7. Determinant Dimensions -- 8. Junk Dimensions -- 9. Dimension Keys -- 10. One-Attribute Dimensions -- Part IV: Multi-Fact and Multi-Input -- 11. Multi-Fact Star Schemas -- 12. Slicing a Fact -- 13. Multi-Input Operational Databases -- Part V: Data Warehousing Granularity and Evolution -- 14. Data Warehousing Granularity and Levels of Aggregation -- 15. Designing Lowest-Level Star Schemas -- 16. Levels of Aggregation: Adding and Removing Dimensions -- 17. Levels of Aggregation and Bridge Tables -- 18. Active Data Warehousing -- Part VI: OLAP, Business Intelligence, and Data Analytics -- 19. Online Analytical Processing (OLAP) -- 20. Pre- and Post-Data Warehousing -- 21. Data Analytics for Data Warehousing.
001441835 506__ $$aAccess limited to authorized users.
001441835 520__ $$aThis textbook covers all central activities of data warehousing and analytics, including transformation, preparation, aggregation, integration, and analysis. It discusses the full spectrum of the journey of data from operational/transactional databases, to data warehouses and data analytics; as well as the role that data warehousing plays in the data processing lifecycle. It also explains in detail how data warehouses may be used by data engines, such as BI tools and analytics algorithms to produce reports, dashboards, patterns, and other useful information and knowledge. The book is divided into six parts, ranging from the basics of data warehouse design (Part I - Star Schema, Part II - Snowflake and Bridge Tables, Part III - Advanced Dimensions, and Part IV - Multi-Fact and Multi-Input), to more advanced data warehousing concepts (Part V - Data Warehousing and Evolution) and data analytics (Part VI - OLAP, BI, and Analytics). This textbook approaches data warehousing from the case study angle. Each chapter presents one or more case studies to thoroughly explain the concepts and has different levels of difficulty, hence learning is incremental. In addition, every chapter has also a section on further readings which give pointers and references to research papers related to the chapter. All these features make the book ideally suited for either introductory courses on data warehousing and data analytics, or even for self-studies by professionals. The book is accompanied by a web page that includes all the used datasets and codes as well as slides and solutions to exercises.
001441835 588__ $$aDescription based on print version record.
001441835 650_0 $$aData warehousing.
001441835 650_6 $$aEntrepôts de données (Informatique)
001441835 655_0 $$aElectronic books.
001441835 7001_ $$aRahayu, Johanna Wenny,$$eauthor.
001441835 77608 $$iPrint version:$$aTaniar, David.$$tData warehousing and analytics.$$dCham : Springer, 2022$$z9783030819781$$w(OCoLC)1295110746
001441835 830_0 $$aData-centric systems and applications.
001441835 852__ $$bebk
001441835 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-81979-8$$zOnline Access$$91397441.1
001441835 909CO $$ooai:library.usi.edu:1441835$$pGLOBAL_SET
001441835 980__ $$aBIB
001441835 980__ $$aEBOOK
001441835 982__ $$aEbook
001441835 983__ $$aOnline
001441835 994__ $$a92$$bISE