In part one of this series, Measuring the Cost of Doing Business with Insufficient Analytics, I referenced a series of studies conducted over the past five
A recent survey conducted by CrowdFlower and summarized on Forbes found data scientists spend most of their time massaging rather than modeling or mining data for
The ”data lake”, a catchy new buzzword in analytics circles, has many people wondering if they still need a data warehouse. You may have heard
What is a dimensional model? What is a data warehouse? This video introduces dimensional modeling while setting the stage for the series of dimensional modeling training videos to follow.
A resilient ETL process deals with data quality issues without causing a process failure while also meeting business requirements. One issue that should be anticipated
When using several of the LeapFrogBI component types, configuration information is stored in Excel. This architecture is used in cases where it is not feasible
Metadata has the power to make or break a data warehouse. Like most innovation, a metadata driven approach to data warehousing solves common challenges by taking the process to a higher level.
What exactly is a data warehouse? Why create a data warehouse? This short video provides non-technical answers that are easily understood by anyone.
Some of the most challenging data warehousing situations come in the form of external data mashups. Because the term “data mashup” has taken on a
Several LeapFrogBI processes use Excel to define configuration details such as FTP, HTTP, and MFS. In some versions of windows, the Excel application is set