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19 Jun, 2019
Foundations of Data Extraction Transform Load (ETL)
19 June, 2019
Wayne Yaddow
ETL
Data extraction, transformation, and loading processes enable many activities in information technology projects. Understanding the concepts and practices of ETL is essential for all data and technology professionals Introduction Data extract, transform, load (ETL) is a process of copying data from one or more sources into a target system which is usually designed to represent the data differently
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3 Apr, 2019
Effective Data Warehouse Testing Strategy
03 April, 2019
Wayne Yaddow
Data Warehousing
Preparing a data warehouse testing strategy can ensure the successful development and completion of end-to-end testing of any data warehouse, data mart, or analytical environment. Introduction Organizations need to learn how to build an end-to-end data warehouse testing strategy. This is most often necessary because the success of a data warehousing project is highly dependent upon the team’s ab
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20 Mar, 2019
Introduction to Data Warehouse Testing
20 March, 2019
Wayne Yaddow
ETL
An Overview of Data Warehouse Testing Data warehouse and data integration testing should focus on ETL processes, BI engines, and applications that rely on data from the data warehouse and data marts. Introduction There is little that casts doubt on a data warehouse and BI project more quickly than incorrectly reported data. It is crucial that data warehouse project teams do all in thei
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29 Mar, 2018
Ensuring Speed, Flexibility and Agility with Self Service Analytics
29 March, 2018
Patricia L. Saporito
Data Warehousing
Introduction Today’s digital world and fast paced business environment demands pervasive, timely analytics. Organizations must deliver speed, agility and ease of use for data access and analytics. In response, business intelligence (BI) and analytics teams are shifting to a more agile, self-service model that enables greater user access to data and the ability to create and perform individualize
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5 Mar, 2018
Improving the ROI of Big Data and Analytics through Leveraging new Sources of Data
05 March, 2018
Bart Baesens
Data Warehousing
Investing in new sources of data can help to unravel complex customer behavior and improve key analytical insights Introduction Big Data and Analytics are all around these days. Most companies already have their first analytical models in production and are thinking about further boosting their performance. Far too often, they focus on the analytical techniques rather than on the key ingredient: d
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27 Sep, 2017
Building a Rock Solid Data and Analytics Strategy
27 September, 2017
Patricia L. Saporito
Analytics
Every organization’s analytics strategy should be connected to its data strategy; and every organization should have a data strategy that supports its business strategy Introduction Like the lyrics in the children’s song Dem Bones, “the hip bone’s connected to the thigh bone”, your data strategy is connected to your analytics strategy – or it should be! Further, your analytics strategy
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21 Jul, 2017
Challenges of Data Warehouse Re-Architecture
21 July, 2017
Bruce D. Johnson
Data Warehousing
Data warehouse / business intelligence / analytics environments require business and IT cooperation for successful architecture and design Introduction In working with many large corporations across a variety of industries, it is clear that we all face the reality of re-architecting data warehouses, whether we want to admit it or not. Since data warehouses are business driven (rethink your strateg
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23 Feb, 2017
Data Warehouse Standards
23 February, 2017
Sid Adelman
Data Warehousing
Standards are different from guidelines. Standards are firm and must be followed. Successful data warehouses use standards Introduction Many dog owners give their dogs what they consider to be commands. They are really more like guidelines. ("Boscoe come!… pause, pause, pause… Well I guess Boscoe is busy with his chewy toy and doesn't want to come just now.") A number of organizations
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1 Oct, 2010
Increasing the Business Value of Business Intelligence
01 October, 2010
Mark Mosely
Data Warehousing / Business Intelligence / Analytics
Organizations can find increased value in business intelligence and analytics efforts through the use of various data delivery strategies. Introduction Like many organizations, your company probably has invested significant time, effort, and money into establishing your data warehousing and business intelligence environment. You’ve built the databases and the ETL programs to move, clean and in
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20 Mar, 2015
Foundations of Data Warehousing
20 March, 2015
David Marco
Data Warehousing
Data warehousing is the proven architecture for delivering subject-oriented, stable, analytical information for decision making. Effective data warehouse development provides many business benefits. Introduction A data warehouse is an enviroment that combines an integrated decision support database with software to collect, cleanse, transform, and store data from a variety of operational and ext
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