Ramesh Bhashyam

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The importance of temporal data management is evident by the temporal features recently released in major commercial database systems. In Teradata, the temporal feature is based on the TSQL2 specification. In this paper, we present Teradata's implementation approach for temporal query processing. There are two common approaches to support temporal query(More)
<italic>This paper covers what we at NCR have learned about the TPC-D benchmark as we executed and published our first set of volume points for the Teradata Database. Areas where customers should read the Full Disclosure Report carefully are pointed out as well as the weaknesses in the benchmark relative to real customer applications. The key execution and(More)
BACKGROUND AND OBJECTIVES Although there is no epidemiological evidence to suggest that classical Creutzfeldt-Jakob disease (CJD) is transmitted through blood or blood products, the variant form (vCJD) has been implicated in transmission via packed red blood cells. The potential threat of the infectious agent contaminating plasma pools has led to(More)
This presentation will discuss several database technology challenges that are faced when building a data warehouse. It will touch on the challenges posed by high capacity drives and the mechanisms in Teradata DBMS to address that. It will consider the features and capabilities required of a database in a mixed application environment of a warehouse and(More)
Query processing in a DBMS typically involves two distinct phases: compilation, which generates the best plan and its corresponding execution steps, and execution, which evaluates these steps against database objects. For some queries, considerable resource savings can be achieved by skipping the compilation phase when the same query was previously(More)
The invention of technology made Business Intelligence (BI) possible over relational engines, but now the experiences of putting them into production has unearthed a new set of problems in need of further invention. Over a period of few past years, academia has provided very performant and storage efficient technologies for fundamental BI objects: cubes(More)
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