In a recent presentation by Tableau Software to the Boulder BI Brain Trust, the term data blending was used to describe Tableau’s approach to accessing multiple sources of heterogeneous data. It struck me that this was a useful way of distinguishing Tableau’s data access approach from concepts such as data virtualization and data federation. Although …Read More
BI Self-Service at Scale
Most companies would like to see broader adoption of business intelligence (BI) by business users and thus achieve the strategic objective of becoming a more analytics-driven organization. There are several challenges and barriers to achieving to this, however. Two of the main challenges are the increasing data volumes and the number of data types and …Read More
Reducing Data Latency with Data Virtualization and Data Propagation
In today’s tough business climate, organizations need to be able to react rapidly to constantly changing business conditions and competitive pressures. The need for agility, however, must not be at the expense of informed and smart business decision making. To enable both fast and smart decisions, business users need easy access to information about current …Read More
What is Big Data and Why Do We Need it?
Editor’s note: Aster Data briefed Colin White on its big data analytics platform in the August 23 Briefing Room. Click here for the archive. “Global digital content created will increase some 30 times over the next ten years – to 35 zettabytes).”1 Big data is a popular, but poorly defined marketing buzzword. One way of …Read More
Is an Enterprise Data Warehouse Still Required for Business Intelligence?
By Colin White, BI Research The number of business intelligence (BI) solutions appearing in the marketplace is steadily increasing. Most of these solutions still employ the services of a traditional enterprise data warehouse, but an increasing number do not. In some operational BI applications, for example, event data volumes and/or the need for fast action …Read More