Tips for Successful Data Integration in a Complex and Fragmented Data Ecosystem
In the age of data-driven decision-making, businesses are faced with the challenge of integrating data from a multitude of sources....
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Cher Fox
- Aug 10
- 1 min
DMBoK Figure 13 Ethical Risk Model for Sampling Projects
Projects that use personal data should have a disciplined approach to the use of that data. They should account for: How they select...
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Cher Fox
- Aug 10
- 2 min
Why an Agile Coach Should Lead Your Organization's Transformation
Agile coaches play a crucial role in leading organizational transformations due to their expertise in agile methodologies and their...
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Cher Fox
- Aug 10
- 2 min
How Data Projects Benefit from the Leadership of an Agile Coach
Working with an agile coach can provide numerous benefits to data projects by helping teams implement agile methodologies and principles...
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Cher Fox
- Aug 10
- 1 min
Analytics Without a Data Strategy?
Building #analytics without a #datastrategy can lead to several dangers, including: Poor data quality: Without a data strategy, there is...
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Cher Fox
- Aug 1
- 2 min
DMBoK Figure 12 Context Diagram: Data Handling Ethics
Defined simply, ethics are principles of behavior based on ideas of right and wrong. Ethical principles often focus on ideas such as...
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Cher Fox
- Jul 27
- 2 min
The Dangers of a Backlog of Technical Debt
Technical debt is a term used to describe the cost of shortcuts taken during software development that result in suboptimal code. A...
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Cher Fox
- Jul 27
- 1 min
Benefits of High Data Availability
High data availability refers to the ability to access and use data at any time, without any interruptions or delays. There are several...
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Cher Fox
- Jul 27
- 1 min
Benefits of a Managed Data Source
A managed data source refers to a centralized repository of data that is managed and maintained by a dedicated team. Here are some of the...
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Cher Fox
- Jul 27
- 1 min
Why Implement Test Automation
There are several reasons why organizations implement test automation: Faster and more efficient testing: Automated tests can be executed...
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Cher Fox
- Jul 26
- 2 min
Why Develop Agile Over Waterfall
Agile and Waterfall are two different project management methodologies used in software development. Here are some reasons why developing...
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Cher Fox
- Jul 21
- 2 min
Functional Data Warehouse
A functional data warehouse (FDW) is a type of data warehouse that is organized around specific business functions, rather than being...
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Cher Fox
- Jul 21
- 2 min
Logical Data Warehouse
A logical data warehouse (LDW) is a modern data architecture that provides a unified view of data from different sources, without...
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Cher Fox
- Jul 21
- 1 min
Continuous Integration and Continuous Delivery
Continuous Integration (CI) and Continuous Delivery (CD) are software development practices that involve the continuous integration and...
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Cher Fox
- Jul 19
- 1 min
DMBoK Figure 3 Strategic Alignment Model
The Strategic Alignment Model (SAM) abstracts the fundamental drivers for any approach to #datamanagement. At its center is the...
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Cher Fox
- Jul 14
- 1 min
Data Lakehouse
A data lakehouse is a new data architecture that combines the best features of data lakes and data warehouses. It is designed to address...
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Cher Fox
- Jul 14
- 2 min
Data Fabric
A data fabric is an architecture that aims to provide a unified and consistent view of data across an organization's various systems,...
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Cher Fox
- Jul 14
- 2 min
Data Mesh
Data Mesh is a relatively new approach to data architecture that emphasizes decentralization and domain-driven ownership of data. The...
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Cher Fox
- Jul 14
- 1 min
The Data Lake
A data lake is a centralized and scalable repository of raw and unstructured data, designed to support a wide range of big data and...
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Cher Fox
- Jul 14
- 1 min
Why Data Warehousing?
The purpose of data warehousing is to provide a centralized and integrated repository of data that is designed to support business...
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