On Demand
The pace of business continues to accelerate, such that organizations must now react faster and more frequently to customer interactions, service-level agreements, operational commitments, competitive pressures, and other time-sensitive issues. With technologies maturing, organizations must evaluate the options they need for the real-time delivery, access, and analysis of information, if they are to reduce business latency or eliminate it.
Philip Russom, Ph.D., Fern Halper, Ph.D., David Stodder
Content Provided by TDWI and IBM, Actian, Cloudera, Datawatch, HP, Tableau Software, Treasure Data, Striim
TDWI, IBM, Actian, Cloudera, Datawatch, HP, Striim, Tableau Software, Treasure Data
Traditional data warehouses are becoming even more complex as they strain against the weight of today’s data explosion.
Philip Russom, Ph.D.
Sponsored by
TDWI and IBM Content
A picture can paint a thousand numbers and broaden the appeal of BI tools. Specialty BI vendors are growing at a rapid pace and visual discovery has become a critical component of the BI platform. BI platform vendors have rushed to add visual discovery capabilities to their portfolio.
Sponsored by
SAP
Data “democratization” is here. Data is in demand today from an ever-widening community of users who seek data-driven insights to inform critical decisions and actions. To move business intelligence and analytics beyond just the specialists, applications must be “beautiful” and the user experience must be rich, visual, interactive, and actionable.
David Stodder
Sponsored by
Actuate - now OpenText
Increasing interest in using Hadoop for data management, transformation, and analysis has led to significant development efforts by commercial vendors to enhance and extend the open source Apache Hadoop framework and offer a range of different Hadoop solutions. Many of these solutions can be used to enhance and extend the current BI and data warehousing environment.
Colin White
Sponsored by
Teradata
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well-thought-out architecture for designing and implementing large-scale DW environments. The benefits from these architectures are well documented, but enterprises are faced with new and disruptive demands from their business users. The question becomes: How do we maintain a stable analytical environment, yet bring in the technological innovations so desperately needed?
Claudia Imhoff, Ph.D.
Sponsored by
SAP
The incremental movement toward real-time operation is the most influential trend today in data-driven IT disciplines such as business intelligence (BI), data warehousing (DW), and data integration (DI). From a technology viewpoint, collecting, processing, and delivering data is hard enough; doing it in real time requires effort that is downright Herculean. Thanks to the big data phenomenon, the volume of data continues to swell, exacerbating the situation.
Philip Russom, Ph.D.
Sponsored by
Teradata