One area that often gets overlooked when building out a new data analytics solution is the importance of ensuring accurate and robust data definitions. This is one of those issues that is difficult to detect because unlike a data quality defect, there are no alarms or reports to indicate a
In the last few days, I have heard the term “data lake” bandied about in various client conversations. As with all buzz-term simplifications, the concept of a “data lake” seems appealing, particularly when it is implied to mean “a framework enabling general data accessibility for enterprise information assets.” And of
As part of two of our client engagements, we have been tasked with providing guidance on an analytics environment platform strategy. More concretely, the goal is to assess the systems that currently compose the “data warehouse environment” and determine what the considerations are for determining the optimal platforms to support
