Data warehousing.

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

Data model patterns = a metadata map / by: (Language materials, printed)

Data warehousing = using the Wal-Mart model / by: (Language materials, printed)

Enterprise knowledge management = the data quality approach / by: (Language materials, printed)

Index structures for data warehouses by: (Language materials, printed)

Data warehouse systems = design and implementation / by: (Electronic resources)

Master data management in practice = achieving true customer MDM / by: (Electronic resources)

Big data factories = collaborative approaches / by: (Electronic resources)

Jumpstart Snowflake = a step-by-step guide to modern cloud analytics / by: (Electronic resources)

Data warehousing and analytics = fueling the data engine / by: (Electronic resources)

Data warehouse systems = design and implementation / by: (Electronic resources)

Impossible data warehouse situations : = solutions from the experts / by: (Language materials, printed)

Distributed data warehousing using Web technology : = how to build a more cost-effective and flexible warehouse / by: (Language materials, printed)

Customer data integration : = reaching a single version of the truth / by: (Language materials, printed)

Building corporate portals using XML by: (Language materials, printed)

Materialized views = techniques, implementations, and applications / by: (Language materials, printed)

Distributed data warehousing using Web technology = how to build a more cost-effective and flexible warehouse / by: (Language materials, printed)

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

SAS 9.1.3 ETL Studio = user's guide. by: (Language materials, printed)

Oracle Database 10g data warehousing by: (Language materials, printed)

The data warehouse ETL toolkit : = practical techniques for extracting, cleaning, conforming, and delivering data / by: (Language materials, printed)

Data warehousing and web engineering by: (Language materials, printed)

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

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

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

The data warehouse lifecycle toolkit / by: (Language materials, printed)

Translating data into information to improve teaching and learning / by: (Language materials, printed)

Spend analysis : = the window into strategic sourcing / by: (Language materials, printed)

Pentaho solutions : = business intelligence and data warehousing with Pentaho and MySQL / 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)

Master data management by: (Language materials, printed)

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

Data warehousing and mining = concepts, methodologies, tools, and applications / by: (Electronic resources)

Data warehousing design and advanced engineering applications = methods for complex construction / by: (Electronic resources)

Integrations of data warehousing, data mining and database technologies = innovative approaches / by: (Electronic resources)

Complex data warehousing and knowledge discovery for advanced retrieval development = innovative methods and applications / by: (Electronic resources)

Strategic advancements in utilizing data mining and warehousing technologies = new concepts and developments / by: (Electronic resources)

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

Modern data warehousing, mining, and visualization : = core concepts / by: (Language materials, printed)

Data intensive storage services for cloud environments by: (Electronic resources)

Data virtualization for business intelligence systems = revolutionizing data integration for data warehouses / by: (Electronic resources)

Agile data warehousing project management = business intelligence systems using Scrum and XP / by: (Electronic resources)

Fuzzy data warehousing for performance measurement = concept and implementation / by: (Electronic resources)

Transactions on large-scale data- and knowledge-centered systems XIII by: (Electronic resources)

Data warehousing in the age of big data by: (Electronic resources)

Hyper-lattice algebraic model for data warehousing by: (Electronic resources)

Critical infrastructure protection research = results of the first critical infrastructure protection research project in hungary / by: (Electronic resources)

Data architecture = a primer for the data scientist : bigdata, data warehouse and data vault / by: (Electronic resources)

Practical Hive = a guide to Hadoop's data warehouse system / by: (Electronic resources)

The Kimball Group reader : = relentlessly practical tools for data warehousing and business intelligence / by: (Electronic resources)

The Biml book = business intelligence and data warehouse automation / by: (Electronic resources)

Data warehouse requirements engineering = a decision based approach / by: (Electronic resources)

Pro DAX with Power BI = business intelligence with PowerPivot and SQL Server Analysis Services Tabular / by: (Electronic resources)

The modern data warehouse in Azure = building with speed and agility on Microsoft's cloud platform / by: (Electronic resources)

Data architecture = a primer for the data scientist / by: (Electronic resources)

Enterprise data warehouse / by: (Language materials, printed)

BigQuery for data warehousing = managed data analysis in the Google Cloud / by: (Electronic resources)

Azure Data Factory by example = practical implementation for data engineers / by: (Electronic resources)

Beginning Azure synapse analytics = transition from data warehouse to data lakehouse / by: (Electronic resources)

Data mapping for data warehouse design by: (Electronic resources)

Snowflake security = securing your Snowflake data cloud / by: (Electronic resources)

Snowflake access control = mastering the features for data privacy and regulatory compliance / by: (Electronic resources)

Pro serverless data handling with Microsoft Azure = architecting ETL and data-driven applications in the cloud / by: (Electronic resources)

Mapping data flows in Azure data factory = building scalable ETL projects in the Microsoft Cloud / by: (Electronic resources)

Data stewardship = an actionable guide to effective data management and data governance / by: (Electronic resources)

Practical implementation of a data lake = translating customer expectations into tangible technical goals / by: (Electronic resources)

Modern data architecture on Azure = design data-centric solutions on microsoft Azure / by: (Electronic resources)

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