Data Modeling Research
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Sybase PowerDesigner for information architecture
Sponsored by: Sybase, an SAP companyThis paper explains how modeling information architecture (IA) can help reduce the costs associated with data management. Read this now and learn about the benefits of implementing IA and how Sybase's option offers modeling support for database design and enterprise architecture.
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Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine
Sponsored by: Oracle CorporationBy using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
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Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling
Sponsored by: Embarcadero Technologies, Inc.In this white paper, you will learn intelligent data modeling practices to design and deliver superior business intelligence (BI) faster, the characteristics and benefits of intelligent data modeling and how to promote the use of data models to fast-track data warehouse and BI projects.
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Data Warehousing 2.0- Modeling and Metadata Strategies for Next Generation Architectures
Sponsored by: Embarcadero Technologies, Inc.Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
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IBM InfoSphere Data Architect V7.6
Sponsored by: IBMIBM InfoSphere Data Architect is a collaborative data design solution to help you discover, model, relate, and standardize diverse and distributed data assets. It supports dimensional modeling. This page contains more information about the product and access to a 30-day trial.
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Tip Guide: Five goals for implementing Oracle Business Intelligence Applications
Sponsored by: SAP America, Inc.Oracle Business Intelligence Applications (OBIA) can give organizations deeper analytical views into their business performance. In this tip guide, readers will learn about five key areas organizations should focus on when implementing OBIA.
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Tip Guide: Case History: How DCM helped one global company improve customer service everywhere
Sponsored by: IBMThis tip guide continues ebizQ.com's exploration of best practices in architecture and other aspects of case management. Inside, learn how one global institution built a dynamic case management (DCM) architecture to better serve its customers all over the world.
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E-Guide: Business intelligence: Paving the way for innovation
Sponsored by: SAP America, Inc.Business intelligence and predictive analytics have the potential to revolutionize the way CIOs make decisions and align IT with business goals. By collecting valuable data, CIOs can promote innovative change. Inside this exclusive e-guide, learn how New York City Housing Authority’s CIO used BI and predictive analytics to do just that.
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A Usability Comparison of the Top Three Data Modeling Tools
Sponsored by: CA ERwin from CA TechnologiesRead this white paper to get a comparison of data modeling tools.
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The secrets of highly effective data governance programs
Sponsored by: Pitney Bowes Group 1 SoftwareThe first key to a successful data governance program is ensuring user and organization expectations. To find out more secret advice for highly effective data governance programs read this expert e-Book. Our editorial team has gathered tips, techniques and best practices to plan a successful data governance plan.
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Fast-Tracking Data Warehousing & Business Intelligence Projects via Intelligent Data Modeling
Sponsored by: Embarcadero Technologies, Inc.Often times Business Intelligence (BI) projects miss the mark with their business users because the proper documenting of required data and related business rules is not executed. This paper looks at fast-tracking data warehousing and BI projects using data modeling.
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Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine
Sponsored by: Oracle CorporationBy using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
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ERwin in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations
Sponsored by: CA ERwin from CA TechnologiesCloud Computing is an emerging market, and there exist an increasing number of companies that are implementing the cloud model, products and services. Read this white paper to find out more about this exciting new technology.
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Improving Data Quality Through Data Modeling
Sponsored by: CA ERwin from CA TechnologiesEnterprise data is largely falling short of a standard that makes it possible to utilize in how business will be conducted in the next decade. Most enterprise data is “adequate” for basic operational needs today. Download this paper to learn how to get the most out of your enterprise data.
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Ten Things to Avoid in a Data Model
Sponsored by: CA ERwin from CA TechnologiesThe construction of a data model is one of the more difficult tasks of software engineering and is often pivotal to the success or failure of a project. Many factors determine the effectiveness of a data model. In this white paper, industry expert Michael Blaha covers the Top 10 pitfalls to avoid - from both the strategy and detail perspective.
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Sybase IQ Powers Predictive Analytics
Sponsored by: Sybase, an SAP companySybase IQ is a market-leading analytics server which enables organizations to perform deep analysis of massive amounts of data, accessed by multiple users requiring answers in real time.
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IBM InfoSphere DataStage Performance and Scalability Benchmark White Paper
Sponsored by: IBMThis paper highlights the performance and scalability potential of InfoSphere DataStage 8.1 based on a benchmark test simulating a data warehouse scenario. The benchmark is designed to use the profiled situation to provide insight about how InfoSphere DataStage addresses customers' key FAQs when designing their information integration architecture.
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Help Alleviate Batch Windows with Reliable, Timely Data Delivery
Sponsored by: IBMThis paper examines the business issues that drive organizations to consider a real-time change data capture solution to optimize ETL processes. This helps alleviate batch windows to enable the delivery of timely, trusted information to the business.
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Information-led Transformation Planning, Modeling and Building New Intelligence Applications
Sponsored by: IBMThis white paper discusses: What is an industry model? What is the value of industry models? Considerations for building or buying data models IBM Industry Models—business and technical blueprints Reducing time to value with IBM Industry Models
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SAP CRM Rapid Deployment Solution
Sponsored by: SAP America, Inc.See how the SAP CRM Rapid Deployment Solution – helps organizations to get essential CRM capabilities, quickly at an affordable price and provides customers options to grow as their businesses grow
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Presentation Transcript: Visualize the Power of Your Data
Sponsored by: CA ERwin from CA TechnologiesGrowing data volumes, diverging data sources, amplified information complexity, and increasingly varied users have made it difficult to take advantage of data as a true corporate asset. In this transcript featuring industry thought leader David Loshin, learn how to turn data complexity into an information advantage.
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New Intelligence for a Smarter Planet for CIOs
Sponsored by: IBM India Pvt. LtdHow do we make sense of rapidly growing amounts of business data? IBM is helping CIOs take control of their data and turn it into not just organized information, but actionable intelligence. Access this video to learn more.
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Improving Data Quality Through Data Modeling
Sponsored by: CA ERwin from CA TechnologiesExplore with William McKnight the factors involved and how organizations should go about valuing data quality through modeling and taking the right steps to remediate data quality defects throughout the enterprise.
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Ten Things to Avoid in a Data Model
Sponsored by: CA ERwin from CA TechnologiesThe construction of a data model is one of the more difficult tasks of software engineering and is often pivotal to the success or failure of a project. Many factors determine the effectiveness of a data model. In this white paper, industry expert Michael Blaha covers the Top 10 pitfalls to avoid — from both the strategy and detail perspective.
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ERwin® in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations
Sponsored by: CA ERwin from CA TechnologiesLearn how Data Modeling supports cloud computing since interaction among the Cloud Service Provider, Cloud Administration and Customer needs to include a well thought out data architecture before a DBMS designed offering in cloud computing is deployed. Continue reading to learn more.
