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Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

oracle data modeling  Database’s documentation, especially the Oracle Data Warehouse Guide and the VLDB and Partitioning Guide, for complete details on all of Oracle’s warehousing features. BALANCED CONFIGURATION Regardless of the design or implementation of a data warehouse the initial key to good performance lies in the hardware configuration used. This has never been more evident than with the recent increase in the number of Data Warehouse appliances in the market. Many data warehouse operations are based upon large Read More...
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Documents related to » oracle data modeling


Data Discovery Applications
Over the last five years, the business intelligence (BI) space has undergone a huge transformation. The business user community has lobbied for data analysis

oracle data modeling  Endeca Information Discovery by Oracle Visual Intelligence by SAP Tableau by Tableau Software Visual Data Discovery by SAS QlikView by QlikTech Spotfire Data Discovery and Visualization by TIBCO WebFOCUS Visual Discovery by Information Builders Lyza by Lyzasoft Style Intelligence by InetSoft Many software providers of data discovery offerings provide both server and desktop options. Others, such as IBM, Oracle, and SAP, provide strong connection and integration of their data discovery tools with their Read More...
Oracle Warehouse Builder: Better Late than Never?
Close to a year behind schedule, Oracle released Warehouse Builder to the market. Oracle, in an interesting contradiction in terms, has stated that the product

oracle data modeling  cutthroat business environment. With Oracle Warehouse Builder, Honeywell is building a data warehouse infrastructure that top management will use daily to spot inefficiencies that affect the bottom line. For example, we can find out if an order is being held up on the manufacturing floor or in shipping, and then take the needed steps to get the order out and revenue booked, said Jason Haugland, consultant for Honeywell. Because of the great data integration features in Oracle Warehouse Builder, we can Read More...
Oracle Applications - An Internet-Reinvented Feisty Challenger
It is startling how much has changed in Oracle’s applications business during the last two years. Oracle is indisputably the most reformed applications vendor

oracle data modeling  CRM and order-management applications. Oracle Data Warehouse Builder Oracle announced Oracle Warehouse Builder, an extensible easy-to-use data warehouse design and deployment framework. This is part of Oracle's Intelligent WebHouse Initiative. It automates much of the work that goes into creating a powerful single data store for e-business analysis. It has the ability to integrate historical data with the massive daily influxes of online data from web sites. (For more information, see Oracle Warehouse Read More...
Oracle Further Orchestrates Its SOA Forays Part Two: Strategy
Oracle's vision of a complete collaborative e-Business solution requires a database strategy, an application server strategy, and an e-business strategy. Will

oracle data modeling  major role within the Oracle Data Provider for .NET product . This is Part Two of a six-part note. Part One contained the event summary and began the market impact. Part Three will discuss strategy shifts. Part Four covers SOA and Web services. Part Five analyzes the Collaxa Acquisition. Part Six will discuss weaknesses and make user recommendations. Application Server Strategy Aimed at the mid-tier of Oracle's stack, Oracle Application Server 10g has become one of the key pillars of the Oracle platform, Read More...
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

oracle data modeling  Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

oracle data modeling  up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

oracle data modeling  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More...
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

oracle data modeling  Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and Read More...
TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30

oracle data modeling  Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the Read More...
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet

oracle data modeling  Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quali Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

oracle data modeling  Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

oracle data modeling  Steps to Manage Data Quality with SQL Server Integration Services Melissa Data's Data Quality Suite operates like a data quality firewall ' instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More...
Data Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution
There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting

oracle data modeling  Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting firms across the globe willing to help you build them. However, it’s imperative for each data management solution to specialize to the unique needs of your organization’s business users, across varying functional areas. Read More...

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