Home
 > search for

Featured Documents related to »  bi 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

bi data warehouse  The Conference and Agile BI Besides the data warehousing and BI core concept courses, there will be an interesting myriad of events taking place in the conference to address possible ways to apply the agile methodology to BI solutions. It will begin with presentations from Wayne Eckerson (“ The Secrets of Creating an Agile, Adaptable BI Environment ”) and Ken Collier (“ Katabatic Winds of Business Intelligence ”), and there will be a promising set of training sessions given by Ralph Huges, an Read More

Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
Start evaluating software now
Country:
 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » bi data warehouse


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 data warehouse  data warehouse solution for BI. This product's features include data compression, partitioned tables, parallelism capabilities, and change data capture. The scalable integration services tools enable fast ETL operations and connectivity to non-SQL server data sources. Netezza Netezza Data Warehouse Appliances is a combination of software and hardware tools designed for analytical processing of very large amounts of data. Netezza's architecture is massively parallel processing (MPP)-based and uses a Read More
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

bi data warehouse  primary purpose of a BI solution is to provide a business with the necessary information to support better decision making. This requires the integration of data within and external to an enterprise. A sound data quality strategy protects an enterprise from inconsistencies and anomalies that arise from the complexity of integrating multiple systems and from hidden problems that are uncovered only through sophisticated analysis techniques. Data quality solutions provide organizations with the ability to Read More
Data Warehousing in the Big Data Era: Are You BIReady?
Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary

bi data warehouse  note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become BI ready. Read More
Teradata to Include MicroStrategy’s Analytics within Its Data Warehouse as a Service
Teradata, a leading provider of data warehousing and big data solutions, announced that its new data-warehouse-as-a-service (DWaaS) offering includes

bi data warehouse  (BI) infrastructure, by having BI and analytics services on top of their data warehouse cloud platforms. Tom Villani, vice president of Worldwide Strategic Alliances, MicroStrategy Incorporated, stated: MicroStrategy is pleased to be part of the Teradata Cloud offering. With nearly twenty years of collaboration between our two organizations, we are firmly committed to our customer base. The powerful and flexible MicroStrategy Analytics Platform on top of Teradata's DWaaS environment will provide Read More
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

bi data warehouse  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. Read More
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

bi data warehouse  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. 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

bi data warehouse  Oracle announced the immediate availability of Oracle Warehouse Builder, an extensible and easy-to-use data warehouse design and deployment framework. As part of Oracle's Intelligent WebHouse Initiative, Oracle Warehouse Builder automates much of the work that goes into creating a powerful, single data store for e-business analysis, specifically with its ability to integrate historical data with the massive, daily influxes of online data from web sites. The product, already in production at nearly 20 Read More
BI Maturity and Software Selection Perspectives
While new technology trends are invading the business intelligence (BI) space, technology shifts and hype do not necessarily equate to the ability to exploit

bi data warehouse  To select a best-fit BI solution, an organization needs to be able to realistically assess the maturity of its BI infrastructure. This allows them to discover where they are, what their BI requirements are, and how to determine the best BI solution or strategy. Download the full report now. Read More
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

bi data warehouse  from the Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More
MSI Data


bi data warehouse  Data Read More
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

bi data warehouse  a common language, avoid responsibility gaps and duplication of effort, and achieve an efficient process with a predictable outcome. This paper presents a framework for project management roles and relationships that is understandable, comprehensive, and adaptable to any size project. Introduction In a project to build or upgrade data center physical infrastructure, a structured and standardized process provides the essential foundation for efficient project execution and a successfully deployed system. Read More
Making Big Data Actionable: How Data Visualization and Other Tools Change the Game
To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through

bi data warehouse  Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. Read More
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

bi data warehouse  data and the system's ability to deliver the data on the business' schedule. Data politics meaning, issues about who owns certain data may arise, causing unnecessary delays in obtaining the appropriate permission to access and cleanse certain data. And, of course, a good strategy should allow flexible interfaces to various data sources that can evolve over time. Move Data to a Continuously Changing Target Implementing an application is an iterative process, with business and IT staff making frequent Read More
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

bi data warehouse  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and Read More

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others