Add to ORKGWe present the Warlock tool to automatically determine a parallel data warehouse\u92s allocation to disk. This GUI-equipped tool is implemented in Java and utilizes an internal cost model and heuristics to determine a disk allocation minimizing both I/O work and query response times. Warlock recommends a ranked list of fragmentation candidates, a detailed query performance analysis and a tailored physical allocation scheme for relational star schemas and bitmap indexes. It supports multi-dimensional fragmentations and can deal with data skew for parallel data warehouses based on a Shared Everything or Shared Disk architecture
Physical database design is important for query performance in a shared-nothing parallel database sy...
Data warehouse queries pose challenging performance problems that often necessitate the use of paral...
We propose a new storage model called MBSM (Multi-resolution Block Storage Model) for laying out tab...
We present the Warlock tool to automatically determine a parallel data warehouse\u92s allocation to ...
We present the WARLOCK tool to automatically determine a parallel data warehouse’s allocation to dis...
Data allocation is a key performance factor for parallel database systems (PDBS). This holds especia...
In this paper, a comprehensive methodology for designing and querying Parallel Rational Data Warehou...
Efficient query processing is a critical requirement for data warehousing systems as decision suppor...
Designing a Parallel Relational Data Warehouse (PRDW) consists of a set of tasks: (i) choosing the h...
For complex queries in parallel database systems, substantial amounts of data must be redistributed ...
This paper presents a multidimensional schema, called the multidimensional range tree (MDR-tree), to...
Abstract. Parallel databases play an important role in delivering per-formance required by data ware...
Abstract:- On-line analytical processing (OLAP) queries are strongly affected by the amount data nee...
The main goal of this thesis is to propose a set of approaches to optimize performance of data wareh...
Abstract:- On-line analytical processing (OLAP) queries are strongly affected by the amount data nee...
Physical database design is important for query performance in a shared-nothing parallel database sy...
Data warehouse queries pose challenging performance problems that often necessitate the use of paral...
We propose a new storage model called MBSM (Multi-resolution Block Storage Model) for laying out tab...
We present the Warlock tool to automatically determine a parallel data warehouse\u92s allocation to ...
We present the WARLOCK tool to automatically determine a parallel data warehouse’s allocation to dis...
Data allocation is a key performance factor for parallel database systems (PDBS). This holds especia...
In this paper, a comprehensive methodology for designing and querying Parallel Rational Data Warehou...
Efficient query processing is a critical requirement for data warehousing systems as decision suppor...
Designing a Parallel Relational Data Warehouse (PRDW) consists of a set of tasks: (i) choosing the h...
For complex queries in parallel database systems, substantial amounts of data must be redistributed ...
This paper presents a multidimensional schema, called the multidimensional range tree (MDR-tree), to...
Abstract. Parallel databases play an important role in delivering per-formance required by data ware...
Abstract:- On-line analytical processing (OLAP) queries are strongly affected by the amount data nee...
The main goal of this thesis is to propose a set of approaches to optimize performance of data wareh...
Abstract:- On-line analytical processing (OLAP) queries are strongly affected by the amount data nee...
Physical database design is important for query performance in a shared-nothing parallel database sy...
Data warehouse queries pose challenging performance problems that often necessitate the use of paral...
We propose a new storage model called MBSM (Multi-resolution Block Storage Model) for laying out tab...