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Our business alliances and clients are the key to our success,
WPL Making better business decisions quickly is the key to succeeding in today's competitive marketplace. WPL has its own Methodology for
implementing Data Warehousing from different vendors like Business
Objects, Informatica, Microsoft, and Oracle Corp, etc.,. WPL's Data Warehousing Framework reduces the costs, simplifies the
complexity, and improves the effectiveness of data warehousing efforts.
We are Expertise in data warehouse components (different vendors), which can include Operational data sources.
Design/development tools.
Data extraction and transformation tools.
A database management system.
Data access and analysis tools.
System management tools.
WPL uses MS Data Warehousing Framework for Data Warehousing solutions, like Design, Implementation, and Management of Data. And by using this Framework we have experience in:
An open architecture that is integrated easily with and extended by
third-party vendors.
Heterogeneous data import, export, validation, and cleansing
services with optional data lineage.
Integrated metadata for warehouse design, data
extraction/transformation, server management, and end-user analysis tools.
Core management services for scheduling, storage management, performance monitoring, alerts/events, and notification.
MS SQL Server 7.0 is the database platform for our data warehousing and
data marts, as it provides:
Support for terabyte-sized databases to manage the largest data warehouses.
Scalability for very large databases, but also across the enterprise to departmental servers and even laptop computers with the 100 percent code-compatible desktop edition, providing the ultimate flexibility and access to central data sources.
Advanced query processing to support the optimization and
execution of complex queries typical in data warehouse applications, including star joins.
Intra-query parallelism, which provides faster performance by breaking a complex single query into component parts and distributing the workload to multiple processors, including remotely linked servers.
High performance utilities for performance tuning, data loading and
index construction.
Heterogeneous JOIN capabilities, which enables retrieval and
consolidation of information from any OLE DB source.
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