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 agile development methodology of data warehouse


The Data Warehouse Institute (TDWI) Conference in San Diego: The Agile Approach to Business Intelligence (BI)
Next month a TDWI World Conference will be taking place in San Diego, California. What’s so special about this conference anyway? The answer is simple:  the

agile development methodology of data warehouse  This adaptation of the agile development methodology is now being applied to all facets of the BI life cycle process. But, can all BI processes become agile? A couple of days ago, I spoke with Mr. Paul Kautza, Director of Education at the TDWI. During the chat, he gave me some very interesting information regarding the upcoming event in San Diego. . Agile BI in a Nutshell The modern agile software development methodology evolved in the 1990s to provide an alternative method for software design processes

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

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Documents related to » agile development methodology of data warehouse

Notes from the TDWI Conference in San Diego, (Day 1)


The TDWI World Conference in San Diego has finally begun, and as a media partner, TEC will be covering this event in its entirety. The next series of brief posts will be dedicated to the conference’s highlights whose theme is “Creating an Agile BI Environment .”The Initial Keynote The official session began with a very interesting and “agile” opening key note by Wayne Eckerson called

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Enterprises Reap Rewards of Modernizing Their ERP Systems


With increased mergers and acquisitions at the global level, organizations have started recognizing the benefits of upgrading to a modern enterprise resource planning (ERP) platform and a service-oriented architecture (SOA). Learn how different approaches to ERP system and architecture upgrades can help your company drive down costs, raise employee productivity, and produce meaningful business process improvement.

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A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

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Lean Maintenance: Best Practices to Turn Asset Management into a Profit Center


It’s common knowledge that asset downtime disrupts production and drives up both process and per-unit operating costs. However, executives often lose sight of this because they focus on output, not on the assets used to create it. The irony is that companies can use asset performance management not only to make more widgets, but to make each widget more profitably.

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Wipro Point of View: Changing Nature of the Wealth Management Industry


The slump in the wealth management industry has its roots in the financial crisis in America and Europe. This has led to high-net-worth individuals (HNI) getting increasingly attracted to low risk, low management investments. Dr. Ashok Hegde, Global Head of Financial Services, Business Analyst Practice, Wipro, shares his expertise on the current challenges faced by and opportunities available to wealth managers. Read more.

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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Agile Data Masking: Toward a More Secure and Agile Enterprise


Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.

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Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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