Data Warehousing Versus Data Virtualization

Koos van Strien contrasts data virtualization with data warehouse automation:

From a certain viewpoint, one could state that Data Virtualization is focused on the way the world should work: when integrating data, one shouldn’t have to store it everywhere. Why not let the system decide when to store? For some, to adopt this view might mean a paradigm shift: suddenly, the Data Warehouse the go-to integration point any more!

From this viewpoint, DWA a tool “from the trenches”: after years of struggle and hard work to build our warehouses, we’ve developed some smart ways to automate our warehouse-building based on abstract models.

Worth reading the whole thing.

Related Posts

Query Store On Azure SQL DW

Matt Usher announces Query Store is now available to all in Azure SQL Data Warehouse: Since our preview announcement, hundreds of customers have been enabling Query Store to provide insight on query performance. We’re excited to share the general availability of Query Store worldwide for Azure SQL Data Warehouse. Query Store automatically captures a history of queries, plans, and […]

Read More

Vectorization With Apache Hive And Parquet Tables

Vihang Karajgaonkar, et al, take us through using a performance improvement in Apache Hive using Parquet tables: The performance benchmarks on CDH 6.0 show that enabling Parquet vectorization significantly improves performance for a typical ETL workload. In the test workload (TPC-DS), enabling parquet vectorization gave 26.5% performance improvement on average (geomean value of runtime for […]

Read More

Categories

December 2017
MTWTFSS
« Nov Jan »
 123
45678910
11121314151617
18192021222324
25262728293031