|
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...
|
|
|
The amount of data within an organization is growing at an exponential rate, creating a need for organizations to adopt a formal approach to auditing data. This is the...
|
|
|
At the heart of tomorrow’s insights-driven enterprises is a modern data environment anchored in fit-for-purpose data architectures. The role of traditional data...
|
|
|
Although some may believe that metadata is an outdated form of search due to the natural language search of Google and other out-of-the-box search capabilities, the...
|
|
|
Data warehouse projects are some of the most challenging projects for IT because of its complexity, but it is still a technology that helps you gain competitiveness. The...
|
|
|
Put a strategy in place to ensure data is available, accessible, well integrated, secured, of acceptable quality, and suitably visualized to fuel organization-wide...
|
|
|
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....
|
|
|
Data management has distinct phasing. Fitting all phases inside a single data warehouse environment creates an unmanageable monster. Instead, think of creating a...
|
|
|
The amount of data within organizations is growing at an exponential rate, creating a need for organizations to adopt a formal approach to governing their data. However,...
|
|
|
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...
|
|
