Hadoop is encroaching on data warehouse (DW) territory, and database vendors are rightly concerned about the threat to their high-margin business, writes Wikibon Principal Research Contributor Jeff K ...

On the one hand, SQL makes Hadoop more accessible to existing business intelligence tools, as well as the millions of data analysts who can write SQL. But there is also a movement under foot to ...

Teradata's latest additions to its unified data architecture aim to deeply integrate its data warehouse systems, Aster's discovery platform, Hadoop and best-of-breed hardware. Written by Larry ...

In his Data Summit 2015 presentation, titled “Building a Real-World Data Warehouse,” Elliott Cordo of Caserta Concepts, covered a range of topics including best practices for building data warehouse ...

Big Data is the future, a fact both EMC Greenplum and HP Vertica recognize. But the two data warehouse vendors are taking very different approaches to Hadoop, the open source Big Data processing frame ...

The Apache Hadoop data processing platform, often packaged in commercial releases by companies such as MapR, can hold vast reams of data, typically more than can be stored in a data warehouse.

Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to ...

New technologies such as Hadoop provide enterprises with another option besides the enterprise data warehouse when it comes to their data storage. Nonetheless, data warehouses still provide value to ...

Microsoft is responding to the “Big Data” movement by adding support for the open-source Hadoop framework for large-scale data processing to its SQL Server database and Parallel Data Warehouse ...

Enterprises benefit from extending their data warehouse architectures to handle big data workloads, Teradata says. Topics Spotlight: Solving Data Analytics Challenges ...