Data warehouse modernization in the age of big data analytics
As any data warehouse professional can tell you, the data warehouse today is evolving, extending, and modernizing to support new technology and business requirements and to prove its continued relevance in the age of big data and analytics. This process has become known as data warehouse modernization. Every user organization and its data warehouse is a unique scenario, so every modernization program is, too. Even so, a few common situations, drivers, and outcomes have arisen.
View this infographic to learn the key survey results as detailed in the TDWI best practices report: Data warehouse modernization in the age of big data analytics. Some facts presented include:
- Top 10 drivers for data warehouse modernization
- Top benefits of data warehouse modernization
- Top barriers to data warehouse modernization
- Trends in platform architectures and more