Data warehousing.
Overview
Works: | 78 works in 45 publications in 45 languages |
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Titles
Data warehousing fundamentals :a comprehensive guide for IT professionals /
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Intelligent data warehousing :from data preparation to data mining /
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Data warehousing and data mining :implementing strategic knowledge management /
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Mastering data warehouse design :relational and dimensional techniques /
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The data warehouse toolkit :the complete guide to dimensional modeling /
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Mastering the SAP business information warehouse :leveraging the business intelligence capabilities of SAP NetWeaver /
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Modern data warehousing, mining, and visualization :core concepts /
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The Microsoft data warehouse toolkit :with SQL Server 2005 and the Microsoft Business Intelligence toolset /
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Advanced Data Warehouse Design :From Conventional to Spatial and Temporal Applications /
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Research and trends in data mining technologies and applications /
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Data warehousing and mining :concepts, methodologies, tools, and applications /
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Storage management in data centersunderstanding, exploiting, tuning, and troubleshooting Veritas Storage Foundation /
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Evolving application domains of data warehousing and mining :trends and solutions /
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Integrations of data warehousing, data mining and database technologiesinnovative approaches /
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Complex data warehousing and knowledge discovery for advanced retrieval developmentinnovative methods and applications /
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Strategic advancements in utilizing data mining and warehousing technologiesnew concepts and developments /
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Evolving application domains of data warehousing and miningtrends and solutions /
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Data virtualization for business intelligence systemsrevolutionizing data integration for data warehouses /
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Agile data warehousing project managementbusiness intelligence systems using Scrum and XP /
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Fuzzy data warehousing for performance measurementconcept and implementation /
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Critical infrastructure protection researchresults of the first critical infrastructure protection research project in hungary /
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Data architecturea primer for the data scientist : bigdata, data warehouse and data vault /
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The Kimball Group readerrelentlessly practical tools for data warehousing and business intelligence /
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Cloud data design, orchestration, and management using Microsoft Azuremaster and design a solution leveraging the Azure data platform /
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Pro DAX with Power BIbusiness intelligence with PowerPivot and SQL Server Analysis Services Tabular /
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The modern data warehouse in Azurebuilding with speed and agility on Microsoft's cloud platform /
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Azure Data Factory by examplepractical implementation for data engineers /
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Beginning Azure synapse analyticstransition from data warehouse to data lakehouse /
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Snowflake access controlmastering the features for data privacy and regulatory compliance /
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Pro serverless data handling with Microsoft Azurearchitecting ETL and data-driven applications in the cloud /
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Data stewardshipan actionable guide to effective data management and data governance /
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Mapping data flows in Azure data factorybuilding scalable ETL projects in the Microsoft Cloud /
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Practical implementation of a data laketranslating customer expectations into tangible technical goals /
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Modern data architecture on Azuredesign data-centric solutions on microsoft Azure /
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Architecting a modern data warehouse for large enterprisesbuild multi-cloud modern distributed data warehouses with Azure and AWS /
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Azure data factory by examplepractical implementation for data engineers /
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