|
Data teams struggle in many areas including a quick and iterative approach for converting an analytics/algorithm into a production-ready reusable and integrated software....
|
|
|
Put a strategy in place to ensure data is available, accessible, well integrated, secured, of acceptable quality, and suitably visualized to fuel organization-wide...
|
|
|
For AI to be able to answer questions or discover new relationships, it needs an underlining architecture that not only describes the data AI will operate on but also...
|
|
|
Data management has distinct phasing. Fitting all phases inside a single data warehouse environment creates an unmanageable monster. Instead, think of creating a...
|
|
|
Business intelligence and analytics are no longer luxuries for large enterprises. IT departments across all industries are feeling the pressure from the business to...
|
1
|
|
The desire for rapid decision making is increasing and the complexity of data sources is growing; business users want access to several new data sources, but in a way...
|
1
|
|
The goal of data architecture is the standardization of data for the benefit of the organization. Follow this blueprint to create a tactical plan for addressing the...
|
1
|
|
Although some may believe that metadata is an outdated form of search due to the natural language search of Google and other out-of-the-box search capabilities, the...
|
1
|
|
The business is demanding big data capabilities and has forced data architects who haven’t planned for big data into a difficult situation. If data architects do not...
|
2
|
|
Organizations are moving headlong into Cloud computing without properly assessing the impact it will have and the level of commitment required for integration. This...
|
3
|
