InfoQ Homepage Data Warehouse Content on InfoQ
Presentations
RSS Feed-
Graph Learning at the Scale of Modern Data Warehouses
Subramanya Dulloor outlines an approach to addressing the challenges of warehouses and shows how to build an efficient and scalable end-to-end system for graph learning in data warehouses.
/presentations/warehouse-graph-data/en/mediumimage/SubramanyaDulloor-medium-1706611576282.jpg)
-
Customer Insight, from Data to Information
Thore Thomassen shares from experience how to combine structured data in a DWH with unstructured data in NoSQL, and using parallel data warehouse appliances to boost the analytical capabilities.
/presentations/data-warehouse/en/mediumimage/Thorebig.jpg)
-
The Next Wave of SQL-on-Hadoop: The Hadoop Data Warehouse
Marcel Kornacker presents a case study of an EDW built on Impala running on 45 nodes, reducing processing time from hours to seconds and consolidating multiple data sets into one single view.
/presentations/hadoop-edw/en/mediumimage/Marcelbig.jpg)
-
Agile Data Warehouse - The Final Frontier
Terry Bunio discusses applying Agile principles to building a data warehouse based on a data model and making use of visualization tools.
/presentations/Agile-Data-Warehouse/en/mediumimage/Terrybig.jpg)
-
Lean Data Architecture: Minimize Investment, Maximize Value
Manvir Singh Grewal and Brandon Byars propose a business intelligence workflow along with Lean principles and practices for implementing a data warehouse and reporting capability.
/presentations/Lean-Data-Warehouse/en/smallimage/Brandon.JPG)
-
Extending the Enterprise Data Warehouse with Hadoop
Rob Lancaster explains the steps made by Orbitz in order to bridge the gap between their data in the data warehouse and the data in Hadoop.
/presentations/Enterprise-Data-Warehouse-Hadoop/en/smallimage/Robert.JPG)