Big data is about mixing, mashing, and commingling all kinds of (seemingly unrelated) information together. This has big implications for BI and data warehousing.
Organizations implementing agile methods have to ensure that project schedules allow for enough iteration to enable agile teams to uncover and incorporate new requirements into their applications. Only then will the faster pace of development create a faster path to information advantage.
Expert Don Loden explains the different types of modeling in SAP HANA and how to approach building data structures that will support maximum performance at all levels within SAP HANA.
The advantages a large enterprise has over a small company are typically well understood: a deeper and more diverse pool of internal skill sets, greater potential for CapEx to support the business, etc. However, larger organizations often suffer from a phenomenon that small companies can avoid simply because of their size – the closing off [...]
It is possible to have a data quality initiative without master data management, but every MDM project must have a data quality element
The winter release of Informatica Cloud aims to increase business user self-service capabilities while improving data quality.
Informatica's PowerCenter Big Data Edition is more than just a Hadoop DI tool: it even includes vanilla PowerCenter.
Big data developments unveiled at sold-out Strata Conference in New York.
There are two big problems associated with data warehousing in the cloud -- agile elasticity and ACID compliance. NuoDB, a database startup, aims to address both of them.
SAP makes a strong case for its new BusinessObjects Predictive Analytics software, but it's not a universal fit for all SAP shops, according to experts.