On Demand
TDWI recognizes that Hadoop usage is a minority practice today, but assumes that mainstream usage of Hadoop within business intelligence (BI) and data warehousing (DW) applications will become common across many industries within a few years. This Webinar provides an overview of Hadoop products and best practices in the context of BI/DW applications so that user organizations can prepare to integrate Hadoop into their BI/DW technology stacks and software portfolios successfully.
Philip Russom, Ph.D.
Sponsored by
Cloudera, EMC Greenplum, Hortonworks, ParAccel, SAP, SAS, Tableau Software, Teradata
The things we are building now are yesterday’s future. A revolution is coming in the information delivery market and we are poised at the beginning of that change. The overall picture is fuzzy, but we can see the general outlines of the new architecture.
Mark Madsen
Sponsored by
Teradata
Expectations for what business intelligence needs to deliver are changing fast. At one time, BI technology demanded that users overcome steep learning curves, backlogs for applications, delays for batch queries, limited historical data, and static reports. Now users expect more. Tools and technologies are rapidly evolving to satisfy greater demands for ease of use, timely data access, and deeper analytics.
David Stodder
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
SAP
As the use of big data grows, the need for data management in the new environment will also grow. The combination of new data and new technology requires new data management capabilities and processes in order to realize the promised benefits.
Mark Madsen
Sponsored by
SAP
Big data analytics, mobile devices, cloud-based solutions, social media data, and predictive analytics—these are the major trends in today’s decision-making environments. Exciting, yes, but incorporating these trends can also be quite disruptive to traditional architectures and the implementers, analysts, and decision makers themselves.
Claudia Imhoff, Ph.D.
Sponsored by
Information Builders
Advanced analytics is being embraced at an increasing rate by organizations that need to gain actionable insight from their vast amounts of both structured and unstructured information. Although much of the technology that comprises advanced analytics has been around for decades, over the past several years, adoption has increased for a number of reasons.
Fern Halper, Ph.D.
Sponsored by
Tableau Software