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Documents related to » bi implementing real time data warehousing


Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete
The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW

bi implementing real time data warehousing  and flexibility of overall BI deployments is the result. Learn more in this white paper authored by one of the co-developers of the corporate information factory DW architecture. Read More...
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

bi implementing real time data warehousing  Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system and they receive the answer. Also, users have the possibility to remain connected (online) so they can start this interaction with the system anytime—which is called an online transaction processing (OLTP) system. In general, a real-time system generates a large amount of Read More...
Achieving Business Intelligence (BI) in Midsize Companies
Like many of today’s IT decision makers, you may be considering a business intelligence (BI) solution for your midsize company. But how do you go about adding

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Access to Critical Business Intelligence: Challenging Data Warehouses?
There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a

bi implementing real time data warehousing  using only EII for BI could make it difficult to deal with business change or analyze historical trends, while the prospects might still be concerned about safeguards for data quality in data-diverse environments, and the impact of EII on transactional systems is always a real concern (i.e., the EII chain is only as fast as its slowest component). Hence, the technology is nowadays still far from mainstream adoption, as opposed to more mature technologies la ETL tools, database replication, and gateway Read More...
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

bi implementing real time data warehousing  4.0 Data Migration | BI Solutions and Data Migration Tools | CRM 4.0 Data Migration Manager | Data Migration Analysis | Data Migration Issues | Data Migration Cost | Data Migration Document | Data Migration System | Data Migration Methodology | Data Migration Project Plan | Data Migration Specialist | Data Migration Best Practices | Data Migration Strategies | Data Migration Utility | Free Data Migration | Practical Data Migration | Data Migration Download | Data Migration Guide | ETL | Strategies | Read More...
Understanding BI: The Top 10 Business Questions That Drive Your BI Technology Requirements
Read this white paper to learn the questions you should be asking to determine your business intelligence technology requirements and better understand your BI

bi implementing real time data warehousing  Questions That Drive Your BI Technology Requirements Read this white paper to learn the questions you should be asking to determine your business intelligence technology requirements and better understand your BI solution needs. Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian''s master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

bi implementing real time data warehousing  major vendors in the BI industry. Wise can be reached here . Read More...
Best Practices for a BI and Analytics Strategy
A growing number of organizations are moving toward having more pervasive business intelligence (BI) by turning to evidence-based decision making supported by a

bi implementing real time data warehousing  Practices for a BI and Analytics Strategy A growing number of organizations are moving toward having more pervasive business intelligence (BI) by turning to evidence-based decision making supported by a range of BI and analytics technology and processes that enable decision makers to have the best possible intelligence about customers, finances, operations, suppliers, and the market. This white paper addresses several questions that BI customers are facing. Read More...
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

bi implementing real time data warehousing  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

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Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

bi implementing real time data warehousing  in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a Read More...
Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

bi implementing real time data warehousing   Read More...
Data Management Wish List: IT Is Open to Big Changes
Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and

bi implementing real time data warehousing  IT Is Open to Big Changes Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and consume the data. In recent years, however, information technology (IT) leaders have focused much more attention on their organizations’ data management platforms and capabilities. Download this white paper to get a better picture of the current data management landscape. Read More...
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

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Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

bi implementing real time data warehousing  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More...

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