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 agile data warehousing


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 data warehousing  of the book “ Agile Data Warehousing ”. On the same topic of Agile methodology, Len Silverston and Claudia Imhoff, both recognized experts in data warehousing and data management will be talking about “ Mastering BI with Best-Practice Architectures and Data Models: From Hub and Spoke to Agile Development ”. Another number of sessions to look forward to regarding Agile BI are: •    “ Architecture and Technologies for Agile OLAP ” by John O´Brien, an expert in data architecture and

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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.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

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Core human resources (HR) includes the HR system of record that combines HR transactions, processes, and data. Main capabilities also include payroll management, benefits management, workforce management, and training management.  

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Documents related to » agile data warehousing

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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Agile Methodology for Business Intelligence


What makes business intelligence (BI) complex is that the user-centricity of the data warehousing system cannot be compromised. The solution to this problem is the adoption of Agile frameworks. Agile development is a software development approach that "cycles" through the different phases, from gathering requirements to delivering functionality into a working release. Find out more.

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Teradata Introduces Unified Data Environment


During its annual Partners event, Teradata, an important data warehouse and analytics provider, introduced its new Analytic Architecture Services that will aid in accelerating deployment of the Teradata Unified Data Environment, a framework that will enable organizations to work with a wide variety of data within Teradata’s environments. By combining its analytic platform Teradata Aster offering

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Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

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ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud


Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed to integrate seamlessly with existing backup technologies and cloud storage provider APIs. Read this ESG Lab report on hands-on testing of the Riverbed Whitewater appliance for ease of use, cost-effective recoverability, data assurance, and performance and scalability.

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New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

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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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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 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 technology (IT) infrastructure.

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Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

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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 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.

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