Data warehousing.

Data warehouses and OLAP = concepts, architectures, and solutions / by: (Language materials, printed)

Advanced Data Warehouse Design = From Conventional to Spatial and Temporal Applications / by: (Language materials, printed)

Building a Data Warehouse = With Examples in SQL Server / by: (Language materials, printed)

Research and trends in data mining technologies and applications by: (Language materials, printed)

DW 2.0 = the architecture for the next generation of data warehousing / by: (Language materials, printed)

Data warehousing and mining = concepts, methodologies, tools, and applications / by: (Language materials, printed)

Data warehousing design and advanced engineering applications = methods for complex construction / by: (Language materials, printed)

Integrations of data warehousing, data mining and database technologies = innovative approaches / by: (Language materials, printed)

Complex data warehousing and knowledge discovery for advanced retrieval development = innovative methods and applications / by: (Language materials, printed)

Strategic advancements in utilizing data mining and warehousing technologies = new concepts and developments / by: (Language materials, printed)

Data virtualization for business intelligence systems = revolutionizing data integration for data warehouses / by: (Language materials, printed)

Agile data warehousing project management = business intelligence systems using Scrum and XP / by: (Language materials, printed)

Data warehouse designss : = archieving ROI with market basket analysis and time variance / by: (Language materials, printed)

Evolving application domains of data warehousing and mining = trends and solutions / by: (Language materials, printed)

Transactions on large-scale data- and knowledge-centered systems X = special issue on database- and expert-systems applications / by: (Language materials, printed)

Transactions on large-scale data- and knowledge-centered systems XII by: (Language materials, printed)

Web data management = a warehouse approach / by: (Language materials, printed)

Storage management in data centers = understanding, exploiting, tuning, and troubleshooting Veritas Storage Foundation / by: (Language materials, printed)

Data intensive storage services for cloud environments by: (Language materials, printed)

Data warehousing in the age of big data by: (Language materials, printed)

Fuzzy data warehousing for performance measurement = concept and implementation / by: (Language materials, printed)

Transactions on large-scale data- and knowledge-centered systems XIII by: (Language materials, printed)

Oracle data warehouse tuning for 10g by: (Language materials, printed)

Data stewardship = an actionable guide to effective data management and data governance / by: (Language materials, printed)

Hyper-lattice algebraic model for data warehousing by: (Language materials, printed)

Critical infrastructure protection research = results of the first critical infrastructure protection research project in hungary / by: (Language materials, printed)

Practical Hive = a guide to Hadoop's data warehouse system / by: (Language materials, printed)

The Kimball Group reader : = relentlessly practical tools for data warehousing and business intelligence / by: (Language materials, printed)

Master data management in practice = achieving true customer MDM / by: (Language materials, printed)

The Biml book = business intelligence and data warehouse automation / by: (Language materials, printed)

Big data factories = collaborative approaches / by: (Language materials, printed)

Cloud data design, orchestration, and management using Microsoft Azure = master and design a solution leveraging the Azure data platform / by: (Language materials, printed)

Data architecture = a primer for the data scientist / by: (Language materials, printed)